The Natural Language Classifier service uses advanced natural language processing and machine learning techniques to assign custom categories to inputted text. For example, you submit a question and the service returns keys to the best matching answers or next actions for your application. You create a classifier instance by providing a set of representative strings and a set of one or more correct classes for each training. After training, the new classifier can accept new questions or phrases and return the top matches with a probability value for each match.
English, Arabic, French, German, Italian, Japanese, Korean, Portuguese (Brazilian), and Spanish.
Train classifiers with text phrases, each with a maximum of 1024 characters
Each .csv file used in training can contain up to 20,000 records.
Extract multiple categories from text phrases
Classify up to 30 separate text phrases in a single request with the classify collection endpoint.