公开(公告)号：US20210149995A1

公开(公告)日：2021-05-20

申请号：US16687098

申请日：2019-11-18

Applicant: International Business Machines Corporation

Inventor： Amita Misra ,  Jalal Mahmud ,  Saurabh Tripathy

IPC: G06F17/27 ,  G06N20/00 ,  G06N5/04 ,  G06N3/04 ,  G06N3/08

Abstract: 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.

公开(公告)号：US11386273B2

公开(公告)日：2022-07-12

申请号：US16687098

申请日：2019-11-18

Applicant: International Business Machines Corporation

Inventor： Amita Misra ,  Jalal Mahmud ,  Saurabh Tripathy

IPC: G06F40/30 ,  G06N20/00 ,  G06N3/08 ,  G06F40/247 ,  G06N5/04 ,  G06N3/04 ,  G06F40/205 ,  G06F40/242 ,  G06F40/253

Abstract: 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.