- Author: IBM
- Date of last update: 10/11/2019
People show various tones, such as joy, sadness, anger, and agreeableness, in daily communications. Such tones can impact the effectiveness of communication in different contexts. Tone Analyzer leverages cognitive linguistic analysis to identify a variety of tones at both the sentence and document level. This insight can then used to refine and improve communications. It detects three types of tones, including emotion (anger, disgust, fear, joy and sadness), social propensities (openness, conscientiousness, extroversion, agreeableness, and emotional range), and language styles (analytical, confident and tentative) from text.
General Tone Assessment
Analyze shorter web data, such as email messages or tweets, or longer documents, such as articles or blog posts. Monitor social media to understand what customers are saying about a brand and to determine whom to target with specific messaging.
Customer Engagement Tone
Monitor customer service and support conversations. Escalate customer conversations when they turn sour or find opportunities to improve customer service scripts, dialog strategies, and customer journeys.
Input text in either English or French and receive a response in either Arabic, German, English, Spanish, French, Italian, Japanese, Korean, Brazilian Portuguese, Simplified Chinese, or Traditional Chinese.