Sentiment Analysis API helps you to get a sentiment score for a given text. As an output you’ll get percentage scores of the analyzed text across three categories viz. Positive, Negative, and Neutral sentiment. This API is helpful in analyzing large unstructured textual data like user feedback, reviews, comments, etc. and classify them across different categories for your business.
Named Entity Extraction API can identify and extract individuals, places, animals, plants, historical figures, monuments, organizations, and other various types of entities from a given body of text. As an output the API lists different named entities across different categories like Name, Place, Animal, etc. This API can come extremely handy while analyzing large bodies of textual content for specific types of mentions.
Text Similarity API will provide the relatedness score between two bodies of text. The output score is provided in the range of 0 to 1 with 0 indicating no relatedness and 1 indicating a very high relatedness between the two input texts. This API can be used across a multitude of use cases pertaining to identifying texts with similar meaning or removing redundant bodies of textual content.
Text Classification API can help identify tags for a given body of text to classify it under different categories like business, sports, entertainment, politics, etc. The API gives percentage scores for different classification categories for a given input text. This API can be leveraged in use cases pertaining to categorizing and developing metadata for a large amount of unstructured data.