Invention Grant
- Patent Title: Sentiment normalization based on current authors personality insight data points
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Application No.: US15242794Application Date: 2016-08-22
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Publication No.: US10558691B2Publication Date: 2020-02-11
- Inventor: Corville O. Allen , Joseph N. Kozhaya
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: VanLeeuwen & VanLeeuwen
- Agent Feb R. Cabrasawan
- Main IPC: G06F7/04
- IPC: G06F7/04 ; G06F16/00 ; G06F16/33 ; G06F16/93 ; G06F16/332 ; G06F16/335

Abstract:
An approach is provided that analyzes electronic document sets, each of the sets written by a different author. The analysis includes performing a normalized sentiment analysis of the documents which results in normalized sentiment scores that pertain to each of the authors. The normalize sentiment scores are stored in a data store that is accessible from a question answering (QA) system. The question answering system then receives a sentiment-based question. Responsively, the QA system generates a qualitative set of candidate answers, with the candidate answers based at least in part on the normalized sentiment scores retrieved from the data store.
Public/Granted literature
- US20180052910A1 Sentiment Normalization Based on Current Authors Personality Insight Data Points Public/Granted day:2018-02-22
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