International Business Machines Corporation

Saurabh Tripathy

Jalal U Mahmud

Amita Misra

A method, system and computer-usable medium are disclosed for sentiment detection based on applying an antonym dictionary to a natural language processing (NLP) system. A binary classifier is trained to predict negation cues, where a constituency parse tree is used to create rules for scope detection. The trained binary classifier, a list of conversational negation terms, and a list of antonyms are used to annotate content that considers negation cues and scope for the created rules.

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San Jose, CA, United States of America

Saurabh Tripathy