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    • Introduction

    Last updated: 2020-11-10

    The IBM Watson™ Tone Analyzer service uses linguistic analysis to detect emotional and language tones in written text. The service can analyze tone at both the document and sentence levels. You can use the service to understand how your written communications are perceived and then to improve the tone of your communications. Businesses can use the service to learn the tone of their customers' communications and to respond to each customer appropriately, or to understand and improve their customer conversations.

    Note: Request logging is disabled for the Tone Analyzer service. Regardless of whether you set the X-Watson-Learning-Opt-Out request header, the service does not log or retain data from requests and responses.

    This documentation describes Java SDK major version 8. For more information about how to update your code from the previous version, see the migration guide.

    This documentation describes Node SDK major version 5. For more information about how to update your code from the previous version, see the migration guide.

    This documentation describes Python SDK major version 4. For more information about how to update your code from the previous version, see the migration guide.

    This documentation describes Ruby SDK major version 1. For more information about how to update your code from the previous version, see the migration guide.

    This documentation describes .NET Standard SDK major version 4. For more information about how to update your code from the previous version, see the migration guide.

    This documentation describes Go SDK major version 1. For more information about how to update your code from the previous version, see the migration guide.

    This documentation describes Swift SDK major version 3. For more information about how to update your code from the previous version, see the migration guide.

    This documentation describes Unity SDK major version 4. For more information about how to update your code from the previous version, see the migration guide.

    Beginning with version 4.0.0, the Node SDK returns a Promise for all methods when a callback isn't specified.

    The package location moved to ibm-watson. It's available at watson-developer-cloud but is not updated there. Use ibm-watson to stay up to date.

    The IBM Watson Unity SDK has the following requirements.

    • The SDK requires Unity version 2018.2 or later to support Transport Layer Security (TLS) 1.2.
      • Set the project settings for both the Scripting Runtime Version and the Api Compatibility Level to .NET 4.x Equivalent.
      • For more information, see TLS 1.0 support.
    • The SDK doesn't support the WebGL projects. Change your build settings to any platform except WebGL.

    For more information about how to install and configure the SDK and SDK Core, see https://github.com/watson-developer-cloud/unity-sdk.

    The code examples on this tab use the client library that is provided for Java.

    Maven

    <dependency>
  <groupId>com.ibm.watson</groupId>
  <artifactId>ibm-watson</artifactId>
  <version>8.6.3</version>
</dependency>

    Gradle

    compile 'com.ibm.watson:ibm-watson:8.6.3'

    GitHub

    https://github.com/watson-developer-cloud/java-sdk

    The code examples on this tab use the client library that is provided for Node.js.

    Installation

    npm install ibm-watson@^5.7.1

    GitHub

    https://github.com/watson-developer-cloud/node-sdk

    The code examples on this tab use the client library that is provided for Python.

    Installation

    pip install --upgrade "ibm-watson>=4.7.1"

    GitHub

    https://github.com/watson-developer-cloud/python-sdk

    The code examples on this tab use the client library that is provided for Ruby.

    Installation

    gem install ibm_watson

    GitHub

    https://github.com/watson-developer-cloud/ruby-sdk

    The code examples on this tab use the client library that is provided for Go.

    go get -u github.com/watson-developer-cloud/go-sdk@v1.7.0

    GitHub

    https://github.com/watson-developer-cloud/go-sdk

    The code examples on this tab use the client library that is provided for Swift.

    Cocoapods

    pod 'IBMWatsonToneAnalyzerV3', '~> 3.6.0'

    Carthage

    github "watson-developer-cloud/swift-sdk" ~> 3.6.0

    Swift Package Manager

    .package(url: "https://github.com/watson-developer-cloud/swift-sdk", from: "3.6.0")

    GitHub

    https://github.com/watson-developer-cloud/swift-sdk

    The code examples on this tab use the client library that is provided for .NET Standard.

    Package Manager

    Install-Package IBM.Watson.ToneAnalyzer.v3 -Version 4.6.0

    .NET CLI

    dotnet add package IBM.Watson.ToneAnalyzer.v3 --version 4.6.0

    PackageReference

    <PackageReference Include="IBM.Watson.ToneAnalyzer.v3" Version="4.6.0" />

    GitHub

    https://github.com/watson-developer-cloud/dotnet-standard-sdk

    The code examples on this tab use the client library that is provided for Unity.

    GitHub

    https://github.com/watson-developer-cloud/unity-sdk

    https://github.com/IBM/unity-sdk-core

    Authentication

    You authenticate to the API by using IBM Cloud Identity and Access Management (IAM).

    You can pass either a bearer token in an authorization header or an API key. Tokens support authenticated requests without embedding service credentials in every call. API keys use basic authentication. For more information, see Authenticating to Watson services.

    • For testing and development, you can pass an API key directly.
    • For production use, unless you use the Watson SDKs, use an IAM token.

    If you pass in an API key, use apikey for the username and the value of the API key as the password. For example, if the API key is f5sAznhrKQyvBFFaZbtF60m5tzLbqWhyALQawBg5TjRI in the service credentials, include the credentials in your call like this:

    curl -u "apikey:f5sAznhrKQyvBFFaZbtF60m5tzLbqWhyALQawBg5TjRI"

    For IBM Cloud instances, the SDK provides initialization methods for each form of authentication.

    • Use the API key to have the SDK manage the lifecycle of the access token. The SDK requests an access token, ensures that the access token is valid, and refreshes it if necessary.
    • Use the access token to manage the lifecycle yourself. You must periodically refresh the token.

    For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.For more information, see IAM authentication with the SDK.

    Replace {apikey} and {url} with your service credentials.

    curl -X {request_method} -u "apikey:{apikey}" "{url}/v3/{method}"

    SDK managing the IAM token. Replace {apikey}, {version}, and {url}.

    IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
ToneAnalyzer toneAnalyzer = new ToneAnalyzer("{version}", authenticator);
toneAnalyzer.setServiceUrl("{url}");

    SDK managing the IAM token. Replace {apikey}, {version}, and {url}.

    const ToneAnalyzerV3 = require('ibm-watson/tone-analyzer/v3');
const { IamAuthenticator } = require('ibm-watson/auth');

const toneAnalyzer = new ToneAnalyzerV3({
  version: '{version}',
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

    SDK managing the IAM token. Replace {apikey}, {version}, and {url}.

    from ibm_watson import ToneAnalyzerV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
tone_analyzer = ToneAnalyzerV3(
    version='{version}',
    authenticator=authenticator
)

tone_analyzer.set_service_url('{url}')

    SDK managing the IAM token. Replace {apikey}, {version}, and {url}.

    require "ibm_watson/authenticators"
require "ibm_watson/tone_analyzer_v3"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
tone_analyzer = ToneAnalyzerV3.new(
  version: "{version}",
  authenticator: authenticator
)
tone_analyzer.service_url = "{url}"

    SDK managing the IAM token. Replace {apikey}, {version}, and {url}.

    import (
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/toneanalyzerv3"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey: "{apikey}",
  }

  options := &toneanalyzerv3.ToneAnalyzerV3Options{
    Version: "{version}",
    Authenticator: authenticator,
  }

  toneAnalyzer, toneAnalyzerErr := toneanalyzerv3.NewToneAnalyzerV3(options)

  if toneAnalyzerErr != nil {
    panic(toneAnalyzerErr)
  }

  toneAnalyzer.SetServiceURL("{url}")
}

    SDK managing the IAM token. Replace {apikey}, {version}, and {url}.

    let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let toneAnalyzer = ToneAnalyzer(version: "{version}", authenticator: authenticator)
toneAnalyzer.serviceURL = "{url}"

    SDK managing the IAM token. Replace {apikey}, {version}, and {url}.

    IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

ToneAnalyzerService toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

    SDK managing the IAM token. Replace {apikey}, {version}, and {url}.

    var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

    Access between services

    Your application might use more than one Watson service. You can grant access between services and you can grant access to more than one service for your applications.

    For IBM Cloud services, the method to grant access between Watson services varies depending on the type of API key. For more information, see IAM access.

    • To grant access between IBM Cloud services, create an authorization between the services. For more information, see Granting access between services.
    • To grant access to your services by applications without using user credentials, create a service ID, add an API key, and assign access policies. For more information, see Creating and working with service IDs.

    Make sure that you use an endpoint URL that includes the service instance ID (for example, https://api.us-south.tone-analyzer.watson.cloud.ibm.com/instances/6bbda3b3-d572-45e1-8c54-22d6ed9e52c2). You can find the instance ID in two places:

    • By clicking the service instance row in the Resource list. The instance ID is the GUID in the details pane.

    • By clicking the name of the service instance in the list and looking at the credentials URL.

      If you don't see the instance ID in the URL, you can add new credentials from the Service credentials page.

    Endpoint URLs

    Identify the base URL for your service instance.

    IBM Cloud URLs

    The base URLs come from the service instance. To find the URL, view the service credentials by clicking the name of the service in the Resource list. Use the value of the URL. Add the method to form the complete API endpoint for your request.

    The following example URL represents a Tone Analyzer instance that is hosted in Washington DC:

    https://api.us-east.tone-analyzer.watson.cloud.ibm.com/instances/6bbda3b3-d572-45e1-8c54-22d6ed9e52c2

    The following URLs represent the base URLs for Tone Analyzer. When you call the API, use the URL that corresponds to the location of your service instance.

    • Dallas: https://api.us-south.tone-analyzer.watson.cloud.ibm.com
    • Washington DC: https://api.us-east.tone-analyzer.watson.cloud.ibm.com
    • Frankfurt: https://api.eu-de.tone-analyzer.watson.cloud.ibm.com
    • London: https://api.eu-gb.tone-analyzer.watson.cloud.ibm.com
    • Seoul: https://api.kr-seo.tone-analyzer.watson.cloud.ibm.com
    • Sydney: https://api.au-syd.tone-analyzer.watson.cloud.ibm.com
    • Tokyo: https://api.jp-tok.tone-analyzer.watson.cloud.ibm.com

    Set the correct service URL by calling the setServiceUrl() method of the service instance.

    Set the correct service URL by specifying the serviceUrl parameter when you create the service instance.

    Set the correct service URL by calling the set_service_url() method of the service instance.

    Set the correct service URL by specifying the service_url property of the service instance.

    Set the correct service URL by calling the SetServiceURL() method of the service instance.

    Set the correct service URL by setting the serviceURL property of the service instance.

    Set the correct service URL by calling the SetServiceUrl() method of the service instance.

    Set the correct service URL by calling the SetServiceUrl() method of the service instance.

    Dallas API endpoint example for services managed on IBM Cloud

    curl -X {request_method} -u "apikey:{apikey}" "https://api.us-south.tone-analyzer.watson.cloud.ibm.com/instances/{instance_id}"

    Your service instance might not use this URL

    Default URL

    https://api.us-south.tone-analyzer.watson.cloud.ibm.com

    Example for the Washington DC location

    IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
ToneAnalyzer toneAnalyzer = new ToneAnalyzer("{version}", authenticator);
toneAnalyzer.setServiceUrl("https://api.us-east.tone-analyzer.watson.cloud.ibm.com");

    Default URL

    https://api.us-south.tone-analyzer.watson.cloud.ibm.com

    Example for the Washington DC location

    const ToneAnalyzerV3 = require('ibm-watson/tone-analyzer/v3');
const { IamAuthenticator } = require('ibm-watson/auth');

const toneAnalyzer = new ToneAnalyzerV3({
  version: '{version}',
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: 'https://api.us-east.tone-analyzer.watson.cloud.ibm.com',
});

    Default URL

    https://api.us-south.tone-analyzer.watson.cloud.ibm.com

    Example for the Washington DC location

    from ibm_watson import ToneAnalyzerV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
tone_analyzer = ToneAnalyzerV3(
    version='{version}',
    authenticator=authenticator
)

tone_analyzer.set_service_url('https://api.us-east.tone-analyzer.watson.cloud.ibm.com')

    Default URL

    https://api.us-south.tone-analyzer.watson.cloud.ibm.com

    Example for the Washington DC location

    require "ibm_watson/authenticators"
require "ibm_watson/tone_analyzer_v3"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
tone_analyzer = ToneAnalyzerV3.new(
  version: "{version}",
  authenticator: authenticator
)
tone_analyzer.service_url = "https://api.us-east.tone-analyzer.watson.cloud.ibm.com"

    Default URL

    https://api.us-south.tone-analyzer.watson.cloud.ibm.com

    Example for the Washington DC location

    toneAnalyzer, toneAnalyzerErr := toneanalyzerv3.NewToneAnalyzerV3(options)

if toneAnalyzerErr != nil {
  panic(toneAnalyzerErr)
}

toneAnalyzer.SetServiceURL("https://api.us-east.tone-analyzer.watson.cloud.ibm.com")

    Default URL

    https://api.us-south.tone-analyzer.watson.cloud.ibm.com

    Example for the Washington DC location

    let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let toneAnalyzer = ToneAnalyzer(version: "{version}", authenticator: authenticator)
toneAnalyzer.serviceURL = "https://api.us-east.tone-analyzer.watson.cloud.ibm.com"

    Default URL

    https://api.us-south.tone-analyzer.watson.cloud.ibm.com

    Example for the Washington DC location

    IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

ToneAnalyzerService toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("https://api.us-east.tone-analyzer.watson.cloud.ibm.com");

    Default URL

    https://api.us-south.tone-analyzer.watson.cloud.ibm.com

    Example for the Washington DC location

    var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("https://api.us-east.tone-analyzer.watson.cloud.ibm.com");

    Disabling SSL verification

    All Watson services use Secure Sockets Layer (SSL) (or Transport Layer Security (TLS)) for secure connections between the client and server. The connection is verified against the local certificate store to ensure authentication, integrity, and confidentiality.

    If you use a self-signed certificate, you need to disable SSL verification to make a successful connection.

    Enabling SSL verification is highly recommended. Disabling SSL jeopardizes the security of the connection and data. Disable SSL only if necessary, and take steps to enable SSL as soon as possible.

    To disable SSL verification for a curl request, use the --insecure (-k) option with the request.

    To disable SSL verification, create an HttpConfigOptions object and set the disableSslVerification property to true. Then, pass the object to the service instance by using the configureClient method.

    To disable SSL verification, set the disableSslVerification parameter to true when you create the service instance.

    To disable SSL verification, specify True on the set_disable_ssl_verification method for the service instance.

    To disable SSL verification, set the disable_ssl_verification parameter to true in the configure_http_client() method for the service instance.

    To disable SSL verification, call the DisableSSLVerification method on the service instance.

    To disable SSL verification, call the disableSSLVerification() method on the service instance. You cannot disable SSL verification on Linux.

    To disable SSL verification, set the DisableSslVerification method to true on the service instance.

    To disable SSL verification, set the DisableSslVerification method to true on the service instance.

    Example to disable SSL verification. Replace {apikey} and {url} with your service credentials.

    curl -k -X {request_method} -u "apikey:{apikey}" "{url}/{method}"

    Example to disable SSL verification

    IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
ToneAnalyzer toneAnalyzer = new ToneAnalyzer("{version}", authenticator);
toneAnalyzer.setServiceUrl("{url}");

HttpConfigOptions configOptions = new HttpConfigOptions.Builder()
  .disableSslVerification(true)
  .build();
toneAnalyzer.configureClient(configOptions);

    Example to disable SSL verification

    const ToneAnalyzerV3 = require('ibm-watson/tone-analyzer/v3');
const { IamAuthenticator } = require('ibm-watson/auth');

const toneAnalyzer = new ToneAnalyzerV3({
  version: '{version}',
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
  disableSslVerification: true,
});

    Example to disable SSL verification

    from ibm_watson import ToneAnalyzerV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
tone_analyzer = ToneAnalyzerV3(
    version='{version}',
    authenticator=authenticator
)

tone_analyzer.set_service_url('{url}')

tone_analyzer.set_disable_ssl_verification(True)

    Example to disable SSL verification

    require "ibm_watson/authenticators"
require "ibm_watson/tone_analyzer_v3"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)
tone_analyzer = ToneAnalyzerV3.new(
  version: "{version}",
  authenticator: authenticator
)
tone_analyzer.service_url = "{url}"

tone_analyzer.configure_http_client(disable_ssl_verification: true)

    Example to disable SSL verification

    toneAnalyzer, toneAnalyzerErr := toneanalyzerv3.NewToneAnalyzerV3(options)

if toneAnalyzerErr != nil {
  panic(toneAnalyzerErr)
}

toneAnalyzer.SetServiceURL("{url}")

toneAnalyzer.DisableSSLVerification()

    Example to disable SSL verification

    let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let toneAnalyzer = ToneAnalyzer(version: "{version}", authenticator: authenticator)
toneAnalyzer.serviceURL = "{url}"

toneAnalyzer.disableSSLVerification()

    Example to disable SSL verification

    IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

ToneAnalyzerService toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

toneAnalyzer.DisableSslVerification(true);

    Example to disable SSL verification

    var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

toneAnalyzer.DisableSslVerification = true;

    Versioning

    API requests require a version parameter that takes a date in the format version=YYYY-MM-DD. When we change the API in a backwards-incompatible way, we release a new version date.

    Send the version parameter with every API request. The service uses the API version for the date you specify, or the most recent version before that date. Don't default to the current date. Instead, specify a date that matches a version that is compatible with your app, and don't change it until your app is ready for a later version.

    Specify the version to use on API requests with the version parameter when you create the service instance. The service uses the API version for the date you specify, or the most recent version before that date. Don't default to the current date. Instead, specify a date that matches a version that is compatible with your app, and don't change it until your app is ready for a later version.

    This documentation describes the current version of Tone Analyzer, 2017-09-21. In some cases, differences in earlier versions are noted in the descriptions of parameters and response models.

    Error handling

    Tone Analyzer uses standard HTTP response codes to indicate whether a method completed successfully. HTTP response codes in the 2xx range indicate success. A response in the 4xx range is some sort of failure, and a response in the 5xx range usually indicates an internal system error that cannot be resolved by the user. Response codes are listed with the method.

    ErrorResponse

    Name Description
    code
    integer    		 The HTTP response code.
    sub_code
    string    		 A service-specific error code.
    error
    string    		 General description of an error.
    help
    string    		 A URL to documentation explaining the cause and possibly solutions for the error.

    The Java SDK generates an exception for any unsuccessful method invocation. All methods that accept an argument can also throw an IllegalArgumentException.

    Exception Description
    IllegalArgumentException An invalid argument was passed to the method.

    When the Java SDK receives an error response from the Tone Analyzer service, it generates an exception from the com.ibm.watson.developer_cloud.service.exception package. All service exceptions contain the following fields.

    Field Description
    statusCode The HTTP response code that is returned.
    message A message that describes the error.

    When the Node SDK receives an error response from the Tone Analyzer service, it creates an Error object with information that describes the error that occurred. This error object is passed as the first parameter to the callback function for the method. The contents of the error object are as shown in the following table.

    Error

    Field Description
    code The HTTP response code that is returned.
    message A message that describes the error.

    The Python SDK generates an exception for any unsuccessful method invocation. When the Python SDK receives an error response from the Tone Analyzer service, it generates an ApiException with the following fields.

    Field Description
    code The HTTP response code that is returned.
    message A message that describes the error.
    info A dictionary of additional information about the error.

    When the Ruby SDK receives an error response from the Tone Analyzer service, it generates an ApiException with the following fields.

    Field Description
    code The HTTP response code that is returned.
    message A message that describes the error.
    info A dictionary of additional information about the error.

    The Go SDK generates an error for any unsuccessful service instantiation and method invocation. You can check for the error immediately. The contents of the error object are as shown in the following table.

    Error

    Field Description
    code The HTTP response code that is returned.
    message A message that describes the error.

    The Swift SDK returns a WatsonError in the completionHandler any unsuccessful method invocation. This error type is an enum that conforms to LocalizedError and contains an errorDescription property that returns an error message. Some of the WatsonError cases contain associated values that reveal more information about the error.

    Field Description
    errorDescription A message that describes the error.

    When the .NET Standard SDK receives an error response from the Tone Analyzer service, it generates a ServiceResponseException with the following fields.

    Field Description
    Message A message that describes the error.
    CodeDescription The HTTP response code that is returned.

    When the Unity SDK receives an error response from the Tone Analyzer service, it generates an IBMError with the following fields.

    Field Description
    Url The URL that generated the error.
    StatusCode The HTTP response code returned.
    ErrorMessage A message that describes the error.
    Response The contents of the response from the server.
    ResponseHeaders A dictionary of headers returned by the request.

    Example error handling

    try {
  // Invoke a method
} catch (NotFoundException e) {
  // Handle Not Found (404) exception
} catch (RequestTooLargeException e) {
  // Handle Request Too Large (413) exception
} catch (ServiceResponseException e) {
  // Base class for all exceptions caused by error responses from the service
  System.out.println("Service returned status code "
    + e.getStatusCode() + ": " + e.getMessage());
}

    Example error handling

    toneAnalyzer.method(params)
  .catch(err => {
    console.log('error:', err);
  });

    Example error handling

    from ibm_watson import ApiException
try:
    # Invoke a method
except ApiException as ex:
    print "Method failed with status code " + str(ex.code) + ": " + ex.message

    Example error handling

    require "ibm_watson"
begin
  # Invoke a method
rescue IBMWatson::ApiException => ex
  print "Method failed with status code #{ex.code}: #{ex.error}"
end

    Example error handling

    import "github.com/watson-developer-cloud/go-sdk/toneanalyzerv3"

// Instantiate a service
toneAnalyzer, toneAnalyzerErr := toneanalyzerv3.NewToneAnalyzerV3(options)

// Check for errors
if toneAnalyzerErr != nil {
  panic(toneAnalyzerErr)
}

// Call a method
result, response, responseErr := toneAnalyzer.MethodName(&methodOptions)

// Check for errors
if responseErr != nil {
  panic(responseErr)
}

    Example error handling

    toneAnalyzer.method() {
  response, error in

  if let error = error {
    switch error {
    case let .http(statusCode, message, metadata):
      switch statusCode {
      case .some(404):
        // Handle Not Found (404) exception
        print("Not found")
      case .some(413):
        // Handle Request Too Large (413) exception
        print("Payload too large")
      default:
        if let statusCode = statusCode {
          print("Error - code: \(statusCode), \(message ?? "")")
        }
      }
    default:
      print(error.localizedDescription)
    }
    return
  }

  guard let result = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }

  print(result)
}

    Example error handling

    try
{
    // Invoke a method
}
catch(ServiceResponseException e)
{
    Console.WriteLine("Error: " + e.Message);
}
catch (Exception e)
{
    Console.WriteLine("Error: " + e.Message);
}

    Example error handling

    // Invoke a method
toneAnalyzer.MethodName(Callback, Parameters);

// Check for errors
private void Callback(DetailedResponse<ExampleResponse> response, IBMError error)
{
    if (error == null)
    {
        Log.Debug("ExampleCallback", "Response received: {0}", response.Response);
    }
    else
    {
        Log.Debug("ExampleCallback", "Error received: {0}, {1}, {3}", error.StatusCode, error.ErrorMessage, error.Response);
    }
}

    Data handling

    Additional headers

    Some Watson services accept special parameters in headers that are passed with the request.

    You can pass request header parameters in all requests or in a single request to the service.

    To pass a request header, use the --header (-H) option with a curl request.

    To pass header parameters with every request, use the setDefaultHeaders method of the service object. See Data collection for an example use of this method.

    To pass header parameters in a single request, use the addHeader method as a modifier on the request before you execute it.

    To pass header parameters with every request, specify the headers parameter when you create the service object. See Data collection for an example use of this method.

    To pass header parameters in a single request, use the headers method as a modifier on the request before you execute it.

    To pass header parameters with every request, specify the set_default_headers method of the service object. See Data collection for an example use of this method.

    To pass header parameters in a single request, include headers as a dict in the request.

    To pass header parameters with every request, specify the add_default_headers method of the service object. See Data collection for an example use of this method.

    To pass header parameters in a single request, specify the headers method as a chainable method in the request.

    To pass header parameters with every request, specify the SetDefaultHeaders method of the service object. See Data collection for an example use of this method.

    To pass header parameters in a single request, specify the Headers as a map in the request.

    To pass header parameters with every request, add them to the defaultHeaders property of the service object. See Data collection for an example use of this method.

    To pass header parameters in a single request, pass the headers parameter to the request method.

    To pass header parameters in a single request, use the WithHeader() method as a modifier on the request before you execute it. See Data collection for an example use of this method.

    To pass header parameters in a single request, use the WithHeader() method as a modifier on the request before you execute it.

    Example header parameter in a request

    curl -X {request_method} -H "Request-Header: {header_value}" "{url}/v3/{method}"

    Example header parameter in a request

    ReturnType returnValue = toneAnalyzer.methodName(parameters)
  .addHeader("Custom-Header", "{header_value}")
  .execute();

    Example header parameter in a request

    const parameters = {
  {parameters}
};

toneAnalyzer.methodName(
  parameters,
  headers: {
    'Custom-Header': '{header_value}'
  })
   .then(result => {
    console.log(response);
  })
  .catch(err => {
    console.log('error:', err);
  });

    Example header parameter in a request

    response = tone_analyzer.methodName(
    parameters,
    headers = {
        'Custom-Header': '{header_value}'
    })

    Example header parameter in a request

    response = tone_analyzer.headers(
  "Custom-Header" => "{header_value}"
).methodName(parameters)

    Example header parameter in a request

    result, response, responseErr := toneAnalyzer.MethodName(
  &methodOptions{
    Headers: map[string]string{
      "Accept": "application/json",
    },
  },
)

    Example header parameter in a request

    let customHeader: [String: String] = ["Custom-Header": "{header_value}"]
toneAnalyzer.methodName(parameters, headers: customHeader) {
  response, error in
}

    Example header parameter in a request

    IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

ToneAnalyzerService toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

toneAnalyzer.WithHeader("Custom-Header", "header_value");

    Example header parameter in a request

    var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

toneAnalyzer.WithHeader("Custom-Header", "header_value");

    Response details

    The Tone Analyzer service might return information to the application in response headers.

    To access all response headers that the service returns, include the --include (-i) option with a curl request. To see detailed response data for the request, including request headers, response headers, and extra debugging information, include the --verbose (-v) option with the request.

    Example request to access response headers

    curl -X {request_method} {authentication_method} --include "{url}/v3/{method}"

    To access information in the response headers, use one of the request methods that returns details with the response: executeWithDetails(), enqueueWithDetails(), or rxWithDetails(). These methods return a Response<T> object, where T is the expected response model. Use the getResult() method to access the response object for the method, and use the getHeaders() method to access information in response headers.

    Example request to access response headers

    Response<ReturnType> response = toneAnalyzer.methodName(parameters)
  .executeWithDetails();
// Access response from methodName
ReturnType returnValue = response.getResult();
// Access information in response headers
Headers responseHeaders = response.getHeaders();

    All response data is available in the Response<T> object that is returned by each method. To access information in the response object, use the following properties.

    Property Description
    result Returns the response for the service-specific method.
    headers Returns the response header information.
    status Returns the HTTP status code.

    Example request to access response headers

    toneAnalyzer.methodName(parameters)
  .then(response => {
    console.log(response.headers);
  })
  .catch(err => {
    console.log('error:', err);
  });

    The return value from all service methods is a DetailedResponse object. To access information in the result object or response headers, use the following methods.

    DetailedResponse

    Method Description
    get_result() Returns the response for the service-specific method.
    get_headers() Returns the response header information.
    get_status_code() Returns the HTTP status code.

    Example request to access response headers

    tone_analyzer.set_detailed_response(True)
response = tone_analyzer.methodName(parameters)
# Access response from methodName
print(json.dumps(response.get_result(), indent=2))
# Access information in response headers
print(response.get_headers())
# Access HTTP response status
print(response.get_status_code())

    The return value from all service methods is a DetailedResponse object. To access information in the response object, use the following properties.

    DetailedResponse

    Property Description
    result Returns the response for the service-specific method.
    headers Returns the response header information.
    status Returns the HTTP status code.

    Example request to access response headers

    response = tone_analyzer.methodName(parameters)
# Access response from methodName
print response.result
# Access information in response headers
print response.headers
# Access HTTP response status
print response.status

    The return value from all service methods is a DetailedResponse object. To access information in the response object or response headers, use the following methods.

    DetailedResponse

    Method Description
    GetResult() Returns the response for the service-specific method.
    GetHeaders() Returns the response header information.
    GetStatusCode() Returns the HTTP status code.

    Example request to access response headers

    import (
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/toneanalyzerv3"
)
result, response, responseErr := toneAnalyzer.MethodName(
  &methodOptions{})
// Access result
core.PrettyPrint(response.GetResult(), "Result ")

// Access response headers
core.PrettyPrint(response.GetHeaders(), "Headers ")

// Access status code
core.PrettyPrint(response.GetStatusCode(), "Status Code ")

    All response data is available in the WatsonResponse<T> object that is returned in each method's completionHandler.

    Example request to access response headers

    toneAnalyzer.methodName(parameters) {
  response, error in

  guard let result = response?.result else {
    print(error?.localizedDescription ?? "unknown error")
    return
  }
  print(result) // The data returned by the service
  print(response?.statusCode)
  print(response?.headers)
}

    The response contains fields for response headers, response JSON, and the status code.

    DetailedResponse

    Property Description
    Result Returns the result for the service-specific method.
    Response Returns the raw JSON response for the service-specific method.
    Headers Returns the response header information.
    StatusCode Returns the HTTP status code.

    Example request to access response headers

    var results = toneAnalyzer.MethodName(parameters);

var result = results.Result;            //  The result object
var responseHeaders = results.Headers;  //  The response headers
var responseJson = results.Response;    //  The raw response JSON
var statusCode = results.StatusCode;    //  The response status code

    The response contains fields for response headers, response JSON, and the status code.

    DetailedResponse

    Property Description
    Result Returns the result for the service-specific method.
    Response Returns the raw JSON response for the service-specific method.
    Headers Returns the response header information.
    StatusCode Returns the HTTP status code.

    Example request to access response headers

    private void Example()
{
    toneAnalyzer.MethodName(Callback, Parameters);
}

private void Callback(DetailedResponse<ResponseType> response, IBMError error)
{
    var result = response.Result;                 //  The result object
    var responseHeaders = response.Headers;       //  The response headers
    var responseJson = reresponsesults.Response;  //  The raw response JSON
    var statusCode = response.StatusCode;         //  The response status code
}

    Data collection

    Request logging is disabled for the Tone Analyzer service. Regardless of whether you set the X-Watson-Learning-Opt-Out request header, the service does not log or retain data from requests and responses.

    Example request

    curl -u "apikey:{apikey}" -H "X-Watson-Learning-Opt-Out: true" "{url}/{method}"

    Example request

    Map<String, String> headers = new HashMap<String, String>();
headers.put("X-Watson-Learning-Opt-Out", "true");

toneAnalyzer.setDefaultHeaders(headers);

    Example request

    const ToneAnalyzerV3 = require('ibm-watson/tone-analyzer/v3');
const { IamAuthenticator } = require('ibm-watson/auth');

const toneAnalyzer = new ToneAnalyzerV3({
  version: '{version}',
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
  headers: {
    'X-Watson-Learning-Opt-Out': 'true'
  }
});

    Example request

    tone_analyzer.set_default_headers({'x-watson-learning-opt-out': "true"})

    Example request

    tone_analyzer.add_default_headers(headers: {"x-watson-learning-opt-out" => "true"})

    Example request

    import "net/http"

headers := http.Header{}
headers.Add("x-watson-learning-opt-out", "true")
toneAnalyzer.SetDefaultHeaders(headers)

    Example request

    toneAnalyzer.defaultHeaders["X-Watson-Learning-Opt-Out"] = "true"

    Example request

    IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

ToneAnalyzerService toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

toneAnalyzer.WithHeader("X-Watson-Learning-Opt-Out", "true");

    Example request

    var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var toneAnalyzer = new ToneAnalyzerService("{version}", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

toneAnalyzer.WithHeader("X-Watson-Learning-Opt-Out", "true");

    Synchronous and asynchronous requests

    The Java SDK supports both synchronous (blocking) and asynchronous (non-blocking) execution of service methods. All service methods implement the ServiceCall interface.

    • To call a method synchronously, use the execute method of the ServiceCall interface. You can call the execute method directly from an instance of the service.
    • To call a method asynchronously, use the enqueue method of the ServiceCall interface to receive a callback when the response arrives. The ServiceCallback interface of the method's argument provides onResponse and onFailure methods that you override to handle the callback.

    The Ruby SDK supports both synchronous (blocking) and asynchronous (non-blocking) execution of service methods. All service methods implement the Concurrent::Async module. When you use the synchronous or asynchronous methods, an IVar object is returned. You access the DetailedResponse object by calling ivar_object.value.

    For more information about the Ivar object, see the IVar class docs.

    • To call a method synchronously, either call the method directly or use the .await chainable method of the Concurrent::Async module.

      Calling a method directly (without .await) returns a DetailedResponse object.

    • To call a method asynchronously, use the .async chainable method of the Concurrent::Async module.

    You can call the .await and .async methods directly from an instance of the service.

    Example synchronous request

    ReturnType returnValue = toneAnalyzer.method(parameters).execute();

    Example asynchronous request

    toneAnalyzer.method(parameters).enqueue(new ServiceCallback<ReturnType>() {
  @Override public void onResponse(ReturnType response) {
    . . .
  }
  @Override public void onFailure(Exception e) {
    . . .
  }
});

    Example synchronous request

    response = tone_analyzer.method_name(parameters)

    or

    response = tone_analyzer.await.method_name(parameters)

    Example asynchronous request

    response = tone_analyzer.async.method_name(parameters)

    Related information

    Methods

    Analyze general tone (GET)

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in plain text format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Use this GET method to analyze smaller quantities of plain text content. Use the Analyze general tone POST method to analyze larger amounts of content in any of the available formats.

    Per the HTTP specification, the default encoding for plain text is ISO-8859-1 (effectively, the ASCII character set). Include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8.

    See also: Using the general-purpose endpoint.

    GET /v3/tone

    Request

    Custom Headers

    • Content-Language
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • Accept-Language
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    Query Parameters

    • text
      string

      Plain text input that contains the content to be analyzed. You must URL-encode the input.

    • version
      string

      Release date of the version of the API you want to use. Specify dates in YYYY-MM-DD format. The current version is 2017-09-21.

    • sentences
      boolean

      Indicates whether the service is to return an analysis of each individual sentence in addition to its analysis of the full document. If true (the default), the service returns results for each sentence.

      Default: true

    • tones
      string[]

      2017-09-21: Deprecated. The service continues to accept the parameter for backward-compatibility, but the parameter no longer affects the response.

      2016-05-19: A comma-separated list of tones for which the service is to return its analysis of the input; the indicated tones apply both to the full document and to individual sentences of the document. You can specify one or more of the valid values. Omit the parameter to request results for all three tones.

      Allowable values: [emotion,language,social]

    • curl -X GET -u "apikey:{apikey}" "{url}/v3/tone?version=2017-09-21&text=Team,%20I%20know%20that%20times%20are%20tough!%20Product%20sales%20have%20been%20disappointing%20for%20the%20past%20three%20quarters.%20We%20have%20a%20competitive%20product,%20but%20we%20need%20to%20do%20a%20better%20job%20of%20selling%20it!"

    Response

    Response Body

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    Status Code

    • 200

      OK. The request succeeded. If the input is partially correct, the response can include warning or error fields with appropriate messages.

    • 400

      Bad Request. A required input parameter is null or a specified input parameter or header value is invalid or not supported.

    • 401

      Unauthorized. Access is denied due to invalid service credentials.

    • 404

      Not Found. A requested item or parameter does not exist.

    • 429

      Too Many Requests. The service is throttling your request because your IBM Cloud ID submitted more than 1200 requests per minute.

    • 500

      Internal Server Error. The service encountered an internal error.

    Example responses
    • {
  "document_tone": {
    "tones": [
      {
        "score": 0.6165,
        "tone_id": "sadness",
        "tone_name": "Sadness"
      },
      {
        "score": 0.829888,
        "tone_id": "analytical",
        "tone_name": "Analytical"
      }
    ]
  },
  "sentences_tone": [
    {
      "sentence_id": 0,
      "text": "Team, I know that times are tough!",
      "tones": [
        {
          "score": 0.801827,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    },
    {
      "sentence_id": 1,
      "text": "Product sales have been disappointing for the past three quarters.",
      "tones": [
        {
          "score": 0.771241,
          "tone_id": "sadness",
          "tone_name": "Sadness"
        },
        {
          "score": 0.687768,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    },
    {
      "sentence_id": 2,
      "text": "We have a competitive product, but we need to do a better job of selling it!",
      "tones": [
        {
          "score": 0.506763,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    }
  ]
}

    Analyze general tone

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    Use the general-purpose endpoint to analyze the tone of your input content. The service analyzes the content for emotional and language tones. The method always analyzes the tone of the full document; by default, it also analyzes the tone of each individual sentence of the content.

    You can submit no more than 128 KB of total input content and no more than 1000 individual sentences in JSON, plain text, or HTML format. The service analyzes the first 1000 sentences for document-level analysis and only the first 100 sentences for sentence-level analysis.

    Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8; per the HTTP specification, the default encoding for plain text and HTML is ISO-8859-1 (effectively, the ASCII character set). When specifying a content type of plain text or HTML, include the charset parameter to indicate the character encoding of the input text; for example: Content-Type: text/plain;charset=utf-8. For text/html, the service removes HTML tags and analyzes only the textual content.

    See also: Using the general-purpose endpoint.

    POST /v3/tone
    (toneAnalyzer *ToneAnalyzerV3) Tone(toneOptions *ToneOptions) (result *ToneAnalysis, response *core.DetailedResponse, err error)
    ServiceCall<ToneAnalysis> tone(ToneOptions toneOptions)
    tone(params, [callback()])
    tone(self, tone_input, content_type=None, sentences=None, tones=None, content_language=None, accept_language=None, **kwargs)
    tone(tone_input:, content_type: nil, sentences: nil, tones: nil, content_language: nil, accept_language: nil)
    func tone(
    toneContent: ToneContent,
    sentences: Bool? = nil,
    tones: [String]? = nil,
    contentLanguage: String? = nil,
    acceptLanguage: String? = nil,
    headers: [String: String]? = nil,
    completionHandler: @escaping (WatsonResponse<ToneAnalysis>?, WatsonError?) -> Void)
    Tone(ToneInput toneInput, string contentType = null, bool? sentences = null, List<string> tones = null, string contentLanguage = null, string acceptLanguage = null)
    Tone(Callback<ToneAnalysis> callback, ToneInput toneInput, string contentType = null, bool? sentences = null, List<string> tones = null, string contentLanguage = null, string acceptLanguage = null)

    Request

    Instantiate the ToneOptions struct and set the fields to provide parameter values for the Tone method.

    Use the ToneOptions.Builder to create a ToneOptions object that contains the parameter values for the tone method.

    Custom Headers

    • Content-Language
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • Accept-Language
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    • Content-Type
      string

      Allowable values: [application/json,text/plain,text/html]

    Query Parameters

    • version
      string

      Release date of the version of the API you want to use. Specify dates in YYYY-MM-DD format. The current version is 2017-09-21.

    • sentences
      boolean

      Indicates whether the service is to return an analysis of each individual sentence in addition to its analysis of the full document. If true (the default), the service returns results for each sentence.

      Default: true

    • tones
      string[]

      2017-09-21: Deprecated. The service continues to accept the parameter for backward-compatibility, but the parameter no longer affects the response.

      2016-05-19: A comma-separated list of tones for which the service is to return its analysis of the input; the indicated tones apply both to the full document and to individual sentences of the document. You can specify one or more of the valid values. Omit the parameter to request results for all three tones.

      Allowable values: [emotion,language,social]

    Request Body

    ToneInput

    JSON, plain text, or HTML input that contains the content to be analyzed. For JSON input, provide an object of type ToneInput.

    ToneOptions

    The Tone options.

    ToneOptions

    The tone options.

    parameters

    • toneInput
      ToneInput | string

      JSON, plain text, or HTML input that contains the content to be analyzed. For JSON input, provide an object of type ToneInput.

    • contentType
      string

      The type of the input. A character encoding can be specified by including a charset parameter. For example, 'text/plain;charset=utf-8'.

      Allowable values: [application/json,text/plain,text/html]

    • sentences
      boolean

      Indicates whether the service is to return an analysis of each individual sentence in addition to its analysis of the full document. If true (the default), the service returns results for each sentence.

      Default: true

    • tones
      string[]

      2017-09-21: Deprecated. The service continues to accept the parameter for backward-compatibility, but the parameter no longer affects the response.

      2016-05-19: A comma-separated list of tones for which the service is to return its analysis of the input; the indicated tones apply both to the full document and to individual sentences of the document. You can specify one or more of the valid values. Omit the parameter to request results for all three tones.

      Allowable values: [emotion,language,social]

    • contentLanguage
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • acceptLanguage
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • ToneInput

      Input for the general-purpose endpoint.

    • content_type
      str

      The type of the input. A character encoding can be specified by including a charset parameter. For example, 'text/plain;charset=utf-8'.

      Allowable values: [application/json,text/plain,text/html]

    • sentences
      bool

      Indicates whether the service is to return an analysis of each individual sentence in addition to its analysis of the full document. If true (the default), the service returns results for each sentence.

      Default: true

    • tones
      List[str]

      2017-09-21: Deprecated. The service continues to accept the parameter for backward-compatibility, but the parameter no longer affects the response.

      2016-05-19: A comma-separated list of tones for which the service is to return its analysis of the input; the indicated tones apply both to the full document and to individual sentences of the document. You can specify one or more of the valid values. Omit the parameter to request results for all three tones.

      Allowable values: [emotion,language,social]

    • content_language
      str

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • accept_language
      str

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • ToneInput

      Input for the general-purpose endpoint.

    • content_type
      String

      The type of the input. A character encoding can be specified by including a charset parameter. For example, 'text/plain;charset=utf-8'.

      Allowable values: [application/json,text/plain,text/html]

    • sentences
      Boolean

      Indicates whether the service is to return an analysis of each individual sentence in addition to its analysis of the full document. If true (the default), the service returns results for each sentence.

      Default: true

    • tones
      Array[String]

      2017-09-21: Deprecated. The service continues to accept the parameter for backward-compatibility, but the parameter no longer affects the response.

      2016-05-19: A comma-separated list of tones for which the service is to return its analysis of the input; the indicated tones apply both to the full document and to individual sentences of the document. You can specify one or more of the valid values. Omit the parameter to request results for all three tones.

      Allowable values: [emotion,language,social]

    • content_language
      String

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • accept_language
      String

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • toneContent
      ToneContent

      JSON, plain text, or HTML input that contains the content to be analyzed. For JSON input, provide an object of type ToneInput.

    • sentences
      Bool

      Indicates whether the service is to return an analysis of each individual sentence in addition to its analysis of the full document. If true (the default), the service returns results for each sentence.

      Default: true

    • tones
      [String]

      2017-09-21: Deprecated. The service continues to accept the parameter for backward-compatibility, but the parameter no longer affects the response.

      2016-05-19: A comma-separated list of tones for which the service is to return its analysis of the input; the indicated tones apply both to the full document and to individual sentences of the document. You can specify one or more of the valid values. Omit the parameter to request results for all three tones.

      Allowable values: [emotion,language,social]

    • contentLanguage
      String

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • acceptLanguage
      String

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • ToneInput

      Input for the general-purpose endpoint.

    • contentType
      string

      The type of the input. A character encoding can be specified by including a charset parameter. For example, 'text/plain;charset=utf-8'.

      Allowable values: [application/json,text/plain,text/html]

    • sentences
      bool?

      Indicates whether the service is to return an analysis of each individual sentence in addition to its analysis of the full document. If true (the default), the service returns results for each sentence.

      Default: true

    • tones
      List<string>

      2017-09-21: Deprecated. The service continues to accept the parameter for backward-compatibility, but the parameter no longer affects the response.

      2016-05-19: A comma-separated list of tones for which the service is to return its analysis of the input; the indicated tones apply both to the full document and to individual sentences of the document. You can specify one or more of the valid values. Omit the parameter to request results for all three tones.

      Allowable values: [emotion,language,social]

    • contentLanguage
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • acceptLanguage
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • ToneInput

      Input for the general-purpose endpoint.

    • contentType
      string

      The type of the input. A character encoding can be specified by including a charset parameter. For example, 'text/plain;charset=utf-8'.

      Allowable values: [application/json,text/plain,text/html]

    • sentences
      bool?

      Indicates whether the service is to return an analysis of each individual sentence in addition to its analysis of the full document. If true (the default), the service returns results for each sentence.

      Default: true

    • tones
      List<string>

      2017-09-21: Deprecated. The service continues to accept the parameter for backward-compatibility, but the parameter no longer affects the response.

      2016-05-19: A comma-separated list of tones for which the service is to return its analysis of the input; the indicated tones apply both to the full document and to individual sentences of the document. You can specify one or more of the valid values. Omit the parameter to request results for all three tones.

      Allowable values: [emotion,language,social]

    • contentLanguage
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • acceptLanguage
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    • curl -X POST -u "apikey:{apikey}" --header "Content-Type: application/json"  --data-binary @tone.json  "{url}/v3/tone?version=2017-09-21"

      Download sample file tone.json

    • IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

ToneAnalyzerService toneAnalyzer = new ToneAnalyzerService("2017-09-21", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

ToneInput toneInput = new ToneInput()
{
    Text = "Team, I know that times are tough! Product sales have been disappointing for the past three quarters. We have a competitive product, but we need to do a better job of selling it!"
};

var result = toneAnalyzer.Tone(
    toneInput: toneInput
    );

Console.WriteLine(result.Response);
    • package main

import (
  "encoding/json"
  "fmt"
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/toneanalyzerv3"
)

func main(){
  authenticator := &core.IamAuthenticator{
    ApiKey:     "{apikey}",
  }

  options := &toneanalyzerv3.ToneAnalyzerV3Options{
    Version: "2017-09-21",
    Authenticator: authenticator,
  }

  toneAnalyzer, toneAnalyzerErr := toneanalyzerv3.NewToneAnalyzerV3(options)

  if toneAnalyzerErr != nil {
    panic(toneAnalyzerErr)
  }

  toneAnalyzer.SetServiceURL("{url}")

  text := "Team, I know that times are tough! Product sales have been disappointing for the past three quarters. We have a competitive product, but we need to do a better job of selling it!"
  result, response, responseErr := toneAnalyzer.Tone(
    &toneanalyzerv3.ToneOptions{
      ToneInput: &toneanalyzerv3.ToneInput{
        Text: &text,
      },
      ContentType: core.StringPtr(toneanalyzerv3.ToneOptions_ContentType_ApplicationJSON),
    },
  )
  if responseErr != nil {
    panic(responseErr)
  }
  b, _ := json.MarshalIndent(result, "", "  ")
  fmt.Println(string(b))
}
    • IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
ToneAnalyzer toneAnalyzer = new ToneAnalyzer("2017-09-21", authenticator);
toneAnalyzer.setServiceUrl("{url}");

String text = "Team, I know that times are tough! Product "
  + "sales have been disappointing for the past three "
  + "quarters. We have a competitive product, but we "
  + "need to do a better job of selling it!";

ToneOptions toneOptions = new ToneOptions.Builder()
  .text(text)
  .build();

ToneAnalysis toneAnalysis = toneAnalyzer.tone(toneOptions).execute().getResult();
System.out.println(toneAnalysis);
    • const ToneAnalyzerV3 = require('ibm-watson/tone-analyzer/v3');
const { IamAuthenticator } = require('ibm-watson/auth');

const toneAnalyzer = new ToneAnalyzerV3({
  version: '2017-09-21',
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

const text = 'Team, I know that times are tough! Product '
  + 'sales have been disappointing for the past three '
  + 'quarters. We have a competitive product, but we '
  + 'need to do a better job of selling it!';

const toneParams = {
  toneInput: { 'text': text },
  contentType: 'application/json',
};

toneAnalyzer.tone(toneParams)
  .then(toneAnalysis => {
    console.log(JSON.stringify(toneAnalysis, null, 2));
  })
  .catch(err => {
    console.log('error:', err);
  });
    • import json
from ibm_watson import ToneAnalyzerV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
tone_analyzer = ToneAnalyzerV3(
    version='2017-09-21',
    authenticator=authenticator
)

tone_analyzer.set_service_url('{url}')

text = 'Team, I know that times are tough! Product '\
    'sales have been disappointing for the past three '\
    'quarters. We have a competitive product, but we '\
    'need to do a better job of selling it!'

tone_analysis = tone_analyzer.tone(
    {'text': text},
    content_type='application/json'
).get_result()
print(json.dumps(tone_analysis, indent=2))
    • require "json"
require "ibm_watson/authenticators"
require "ibm_watson/tone_analyzer_v3"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)

tone_analyzer = ToneAnalyzerV3.new(
  version: "2017-09-21",
  authenticator: authenticator
)
tone_analyzer.service_url = "{url}"

text = "Team, I know that times are tough! Product sales have been disappointing for the past three quarters. We have a competitive product, but we need to do a better job of selling it!"

tone = tone_analyzer.tone(
  tone_input: {text: text},
  content_type: "application/json"
)

puts JSON.pretty_generate(tone.result)
    • let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let toneAnalyzer = ToneAnalyzer(version: "2017-09-21", authenticator: authenticator)
toneAnalyzer.serviceURL = "{url}"

let text = """
Team, I know that times are tough! Product \
sales have been disappointing for the past three \
quarters. We have a competitive product, but we \
need to do a better job of selling it!
"""

toneAnalyzer.tone(toneContent: .text(text)) {
  response, error in

  guard let toneAnalysis = response?.result else {
    print(error as Any)
    return
  }

  print(toneAnalysis)
}
    • var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var toneAnalyzer = new ToneAnalyzerService("2017-09-21", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

ToneAnalysis toneResponse = null;
ToneInput toneInput = new ToneInput()
{
    Text = "Team, I know that times are tough! Product sales have been disappointing for the past three quarters. We have a competitive product, but we need to do a better job of selling it!"
};
toneAnalyzer.Tone(
    callback: (DetailedResponse<ToneAnalysis> response, IBMError error) =>
    {
        Log.Debug("ToneAnalyzerServiceV3", "Tone result: {0}", response.Response);
        toneResponse = response.Result;
    },
    toneInput: toneInput
);

while (toneResponse == null)
    yield return null;

    Response

    Response Body

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    ToneAnalysis

    The tone analysis results for the input from the general-purpose endpoint.

    Status Code

    • 200

      OK. The request succeeded. If the input is partially correct, the response can include warning or error fields with appropriate messages.

    • 400

      Bad Request. A required input parameter is null or a specified input parameter or header value is invalid or not supported.

    • 401

      Unauthorized. Access is denied due to invalid service credentials.

    • 404

      Not Found. A requested item or parameter does not exist.

    • 429

      Too Many Requests. The service is throttling your request because your IBM Cloud ID submitted more than 1200 requests per minute.

    • 500

      Internal Server Error. The service encountered an internal error.

    Example responses
    • {
  "document_tone": {
    "tones": [
      {
        "score": 0.6165,
        "tone_id": "sadness",
        "tone_name": "Sadness"
      },
      {
        "score": 0.829888,
        "tone_id": "analytical",
        "tone_name": "Analytical"
      }
    ]
  },
  "sentences_tone": [
    {
      "sentence_id": 0,
      "text": "Team, I know that times are tough!",
      "tones": [
        {
          "score": 0.801827,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    },
    {
      "sentence_id": 1,
      "text": "Product sales have been disappointing for the past three quarters.",
      "tones": [
        {
          "score": 0.771241,
          "tone_id": "sadness",
          "tone_name": "Sadness"
        },
        {
          "score": 0.687768,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    },
    {
      "sentence_id": 2,
      "text": "We have a competitive product, but we need to do a better job of selling it!",
      "tones": [
        {
          "score": 0.506763,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    }
  ]
}
    • {
  "document_tone": {
    "tones": [
      {
        "score": 0.6165,
        "tone_id": "sadness",
        "tone_name": "Sadness"
      },
      {
        "score": 0.829888,
        "tone_id": "analytical",
        "tone_name": "Analytical"
      }
    ]
  },
  "sentences_tone": [
    {
      "sentence_id": 0,
      "text": "Team, I know that times are tough!",
      "tones": [
        {
          "score": 0.801827,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    },
    {
      "sentence_id": 1,
      "text": "Product sales have been disappointing for the past three quarters.",
      "tones": [
        {
          "score": 0.771241,
          "tone_id": "sadness",
          "tone_name": "Sadness"
        },
        {
          "score": 0.687768,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    },
    {
      "sentence_id": 2,
      "text": "We have a competitive product, but we need to do a better job of selling it!",
      "tones": [
        {
          "score": 0.506763,
          "tone_id": "analytical",
          "tone_name": "Analytical"
        }
      ]
    }
  ]
}

    Analyze customer-engagement tone

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    Use the customer-engagement endpoint to analyze the tone of customer service and customer support conversations. For each utterance of a conversation, the method reports the most prevalent subset of the following seven tones: sad, frustrated, satisfied, excited, polite, impolite, and sympathetic.

    If you submit more than 50 utterances, the service returns a warning for the overall content and analyzes only the first 50 utterances. If you submit a single utterance that contains more than 500 characters, the service returns an error for that utterance and does not analyze the utterance. The request fails if all utterances have more than 500 characters. Per the JSON specification, the default character encoding for JSON content is effectively always UTF-8.

    See also: Using the customer-engagement endpoint.

    POST /v3/tone_chat
    (toneAnalyzer *ToneAnalyzerV3) ToneChat(toneChatOptions *ToneChatOptions) (result *UtteranceAnalyses, response *core.DetailedResponse, err error)
    ServiceCall<UtteranceAnalyses> toneChat(ToneChatOptions toneChatOptions)
    toneChat(params, [callback()])
    tone_chat(self, utterances, content_language=None, accept_language=None, **kwargs)
    tone_chat(utterances:, content_language: nil, accept_language: nil)
    func toneChat(
    utterances: [Utterance],
    contentLanguage: String? = nil,
    acceptLanguage: String? = nil,
    headers: [String: String]? = nil,
    completionHandler: @escaping (WatsonResponse<UtteranceAnalyses>?, WatsonError?) -> Void)
    ToneChat(List<Utterance> utterances, string contentLanguage = null, string acceptLanguage = null)
    ToneChat(Callback<UtteranceAnalyses> callback, List<Utterance> utterances, string contentLanguage = null, string acceptLanguage = null)

    Request

    Instantiate the ToneChatOptions struct and set the fields to provide parameter values for the ToneChat method.

    Use the ToneChatOptions.Builder to create a ToneChatOptions object that contains the parameter values for the toneChat method.

    Custom Headers

    • Content-Language
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • Accept-Language
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    Query Parameters

    • version
      string

      Release date of the version of the API you want to use. Specify dates in YYYY-MM-DD format. The current version is 2017-09-21.

    Request Body

    ToneChatInput

    An object that contains the content to be analyzed.

    ToneChatOptions

    The ToneChat options.

    ToneChatOptions

    The toneChat options.

    parameters

    • utterances

      An array of Utterance objects that provides the input content that the service is to analyze.

    • contentLanguage
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • acceptLanguage
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • utterances

      An array of Utterance objects that provides the input content that the service is to analyze.

    • content_language
      str

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • accept_language
      str

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • utterances

      An array of Utterance objects that provides the input content that the service is to analyze.

    • content_language
      String

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • accept_language
      String

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • utterances

      An array of Utterance objects that provides the input content that the service is to analyze.

    • contentLanguage
      String

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • acceptLanguage
      String

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • utterances

      An array of Utterance objects that provides the input content that the service is to analyze.

    • contentLanguage
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • acceptLanguage
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    parameters

    • utterances

      An array of Utterance objects that provides the input content that the service is to analyze.

    • contentLanguage
      string

      The language of the input text for the request: English or French. Regional variants are treated as their parent language; for example, en-US is interpreted as en. The input content must match the specified language. Do not submit content that contains both languages. You can use different languages for Content-Language and Accept-Language.

      • 2017-09-21: Accepts en or fr.
      • 2016-05-19: Accepts only en.

      Allowable values: [en,fr]

      Default: en

    • acceptLanguage
      string

      The desired language of the response. For two-character arguments, regional variants are treated as their parent language; for example, en-US is interpreted as en. You can use different languages for Content-Language and Accept-Language.

      Allowable values: [ar,de,en,es,fr,it,ja,ko,pt-br,zh-cn,zh-tw]

      Default: en

    • curl -X POST -u "apikey:{apikey}" --header "Content-Type: application/json" --data-binary @tone-chat.json  "{url}/v3/tone_chat?version=2017-09-21"

      Download sample file tone-chat.json

    • IamAuthenticator authenticator = new IamAuthenticator(
    apikey: "{apikey}"
    );

ToneAnalyzerService toneAnalyzer = new ToneAnalyzerService("2017-09-21", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

var utterances = new List<Utterance>()
{
    new Utterance()
    {
        Text = "Hello, I'm having a problem with your product.",
        User = "customer"
    },
    new Utterance()
    {
        Text = "OK, let me know what's going on, please.",
        User = "agent"
    },
    new Utterance()
    {
        Text = "Well, nothing is working :(",
        User = "customer"
    },
    new Utterance()
    {
        Text = "Sorry to hear that.",
        User = "agent"
    }
};

var result = toneAnalyzer.ToneChat(
    utterances: utterances
    );

Console.WriteLine(result.Response);
    • package main

import (
  "encoding/json"
  "fmt"
  "github.com/IBM/go-sdk-core/core"
  "github.com/watson-developer-cloud/go-sdk/toneanalyzerv3"
)

func main() {
  authenticator := &core.IamAuthenticator{
    ApiKey:     "{apikey}",
  }

  options := &toneanalyzerv3.ToneAnalyzerV3Options{
    Version: "2017-09-21",
    Authenticator: authenticator,
  }

  toneAnalyzer, toneAnalyzerErr := toneanalyzerv3.NewToneAnalyzerV3(options)

  if toneAnalyzerErr != nil {
    panic(toneAnalyzerErr)
  }

  toneAnalyzer.SetServiceURL("{url}")

  utterances := []toneanalyzerv3.Utterance{
    toneanalyzerv3.Utterance{
      Text: core.StringPtr("Hello, I'm having a problem with your product."),
      User: core.StringPtr("customer"),
    },
    toneanalyzerv3.Utterance{
      Text: core.StringPtr("OK, let me know what's going on, please."),
      User: core.StringPtr("agent"),
    },
    toneanalyzerv3.Utterance{
      Text: core.StringPtr("Well, nothing is working :("),
      User: core.StringPtr("customer"),
    },
    toneanalyzerv3.Utterance{
      Text: core.StringPtr("Sorry to hear that."),
      User: core.StringPtr("agent"),
    },
  }

  options := toneAnalyzer.NewToneChatOptions(utterances)
  result, response, responseErr := toneAnalyzer.ToneChat(options)
  if responseErr != nil {
    panic(responseErr)
  }
  b, _ := json.MarshalIndent(result, "", "  ")
  fmt.Println(string(b))
}
    • IamAuthenticator authenticator = new IamAuthenticator("{apikey}");
ToneAnalyzer toneAnalyzer = new ToneAnalyzer("2017-09-21", authenticator);
toneAnalyzer.setServiceUrl("{url}");

List<Utterance> utterances = new ArrayList<Utterance>();
utterances.add(new Utterance.Builder()
  .text("Hello, I'm having a problem with your product.")
  .user("customer")
  .build());
utterances.add(new Utterance.Builder()
  .text("OK, let me know what's going on, please.")
  .user("agent")
  .build());
utterances.add(new Utterance.Builder()
  .text("Well, nothing is working :(")
  .user("customer")
  .build());
utterances.add(new Utterance.Builder()
  .text("Sorry to hear that.")
  .user("agent")
  .build());

ToneChatOptions toneChatOptions = new ToneChatOptions.Builder()
  .utterances(utterances)
  .build();

UtteranceAnalyses utteranceAnalyses = 
  toneAnalyzer.toneChat(toneChatOptions).execute().getResult();
System.out.println(utteranceAnalyses);
    • const ToneAnalyzerV3 = require('ibm-watson/tone-analyzer/v3');
const { IamAuthenticator } = require('ibm-watson/auth');

const toneAnalyzer = new ToneAnalyzerV3({
  version: '2017-09-21',
  authenticator: new IamAuthenticator({
    apikey: '{apikey}',
  }),
  serviceUrl: '{url}',
});

const toneChatParams = {
  utterances: [
    {
      text: "Hello, I'm having a problem with your product.",
      user: "customer",
    },
    {
      text: "OK, let me know what's going on, please.",
      user: "agent",
    },
    {
      text: "Well, nothing is working :(",
      user: "customer",
    },
    {
      text: "Sorry to hear that.",
      user: "agent",
    },
  ],
};

toneAnalyzer.toneChat(toneChatParams)
  .then(utteranceAnalyses => {
    console.log(JSON.stringify(utteranceAnalyses, null, 2));
  })
  .catch(err => {
    console.log('error:', err);
  });
    • import json
from ibm_watson import ToneAnalyzerV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('{apikey}')
tone_analyzer = ToneAnalyzerV3(
    version='2017-09-21',
    authenticator=authenticator
)

tone_analyzer.set_service_url('{url}')

utterances = [
    {
        "text": "Hello, I'm having a problem with your product.",
        "user": "customer"
    },
    {
        "text": "OK, let me know what's going on, please.",
        "user": "agent"
    },
    {
        "text": "Well, nothing is working :(",
        "user": "customer"
    },
    {
        "text": "Sorry to hear that.",
        "user": "agent"
    }
]

utterance_analyses = tone_analyzer.tone_chat(utterances).get_result()
print(json.dumps(utterance_analyses, indent=2))
    • require "json"
require "ibm_watson/authenticators"
require "ibm_watson/tone_analyzer_v3"
include IBMWatson

authenticator = Authenticators::IamAuthenticator.new(
  apikey: "{apikey}"
)

tone_analyzer = ToneAnalyzerV3.new(
  version: "2017-09-21",
  authenticator: authenticator
)
tone_analyzer.service_url = "{url}"

utterances = [
  {
    text: "Hello, I'm having a problem with your product.",
    user: "customer"
  },
  {
    text: "OK, let me know what's going on, please.",
    user: "agent"
  },
  {
    text: "Well, nothing is working :(",
    user: "customer"
  },
  {
    text: "Sorry to hear that.",
    user: "agent"
  }
]

tone = tone_analyzer.tone_chat(
  utterances: utterances
)

puts JSON.pretty_generate(tone.result)
    • let authenticator = WatsonIAMAuthenticator(apiKey: "{apikey}")
let toneAnalyzer = ToneAnalyzer(version: "2017-09-21", authenticator: authenticator)
toneAnalyzer.serviceURL = "{url}"

let utterances = [
  Utterance(text: "Hello, I'm having a problem with your product.", user: "customer"),
  Utterance(text: "OK, let me know what's going on, please.", user: "agent"),
  Utterance(text: "Well, nothing is working :(", user: "customer"),
  Utterance(text: "Sorry to hear that.", user: "agent"),
]

toneAnalyzer.toneChat(utterances: utterances, acceptLanguage: "en") {
  response, error in

  guard let analyses = response?.result else {
    print(error as Any)
    return
  }
  
  print(analyses)
}
    • var authenticator = new IamAuthenticator(
    apikey: "{apikey}"
);

while (!authenticator.CanAuthenticate())
    yield return null;

var toneAnalyzer = new ToneAnalyzerService("2017-09-21", authenticator);
toneAnalyzer.SetServiceUrl("{url}");

UtteranceAnalyses toneChatResponse = null;
List<Utterance> utterances = new List<Utterance>()
{
    new Utterance()
    {
        Text = "Hello, I'm having a problem with your product.",
        User = "customer"
    },
    new Utterance()
    {
        Text = "OK, let me know what's going on, please.",
        User = "agent"
    },
    new Utterance()
    {
        Text = "Well, nothing is working :(",
        User = "customer"
    },
    new Utterance()
    {
        Text = "Sorry to hear that.",
        User = "agent"
    }
};

toneAnalyzer.ToneChat(
    callback: (DetailedResponse<UtteranceAnalyses> response, IBMError error) =>
    {
        Log.Debug("ToneAnalyzerServiceV3", "ToneChat result: {0}", response.Response);
        toneChatResponse = response.Result;
    },
    utterances: utterances
);

while (toneChatResponse == null)
    yield return null;

    Response

    Response Body

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    UtteranceAnalyses

    The results of the analysis for the utterances of the input content.

    Status Code

    • 200

      OK. The request succeeded. If the input is partially correct, the response can include warning or error fields with appropriate messages.

    • 400

      Bad Request. A required input parameter is null or a specified input parameter or header value is invalid or not supported. The response is also returned if all utterances of the input have more than 500 characters.

    • 401

      Unauthorized. Access is denied due to invalid service credentials.

    • 404

      Not Found. A requested item or parameter does not exist.

    • 429

      Too Many Requests. The service is throttling your request because your IBM Cloud ID submitted more than 1200 requests per minute.

    • 500

      Internal Server Error. The service encountered an internal error.

    Example responses
    • {
  "utterances_tone": [
    {
      "utterance_id": 0,
      "utterance_text": "Hello, I'm having a problem with your product.",
      "tones": [
        {
          "score": 0.686361,
          "tone_id": "polite",
          "tone_name": "Polite"
        }
      ]
    },
    {
      "utterance_id": 1,
      "utterance_text": "OK, let me know what's going on, please.",
      "tones": [
        {
          "score": 0.92724,
          "tone_id": "polite",
          "tone_name": "Polite"
        }
      ]
    },
    {
      "utterance_id": 2,
      "utterance_text": "Well, nothing is working :(",
      "tones": [
        {
          "score": 0.997795,
          "tone_id": "sad",
          "tone_name": "sad"
        }
      ]
    },
    {
      "utterance_id": 3,
      "utterance_text": "Sorry to hear that.",
      "tones": [
        {
          "score": 0.730982,
          "tone_id": "polite",
          "tone_name": "Polite"
        },
        {
          "score": 0.672499,
          "tone_id": "sympathetic",
          "tone_name": "Sympathetic"
        }
      ]
    }
  ]
}
    • {
  "utterances_tone": [
    {
      "utterance_id": 0,
      "utterance_text": "Hello, I'm having a problem with your product.",
      "tones": [
        {
          "score": 0.686361,
          "tone_id": "polite",
          "tone_name": "Polite"
        }
      ]
    },
    {
      "utterance_id": 1,
      "utterance_text": "OK, let me know what's going on, please.",
      "tones": [
        {
          "score": 0.92724,
          "tone_id": "polite",
          "tone_name": "Polite"
        }
      ]
    },
    {
      "utterance_id": 2,
      "utterance_text": "Well, nothing is working :(",
      "tones": [
        {
          "score": 0.997795,
          "tone_id": "sad",
          "tone_name": "sad"
        }
      ]
    },
    {
      "utterance_id": 3,
      "utterance_text": "Sorry to hear that.",
      "tones": [
        {
          "score": 0.730982,
          "tone_id": "polite",
          "tone_name": "Polite"
        },
        {
          "score": 0.672499,
          "tone_id": "sympathetic",
          "tone_name": "Sympathetic"
        }
      ]
    }
  ]
}