Invention Grant
- Patent Title: Adjusting sentiment scoring for online content using baseline attitude of content author
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Application No.: US15043170Application Date: 2016-02-12
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Publication No.: US10169830B2Publication Date: 2019-01-01
- Inventor: Kevin Gary Smith , William Brandon George
- Applicant: Adobe Systems Incorporated
- Applicant Address: US CA San Jose
- Assignee: Adobe Systems Incorporated
- Current Assignee: Adobe Systems Incorporated
- Current Assignee Address: US CA San Jose
- Agency: Wolfe-SBMC
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06Q50/00 ; H04L12/58 ; G06F17/27

Abstract:
In an online environment, a baseline attitude of an author of online content is determined. Based on the baseline attitude and a raw sentiment score for an instance of online content, an adjusted sentiment score for the online content instance is generated. A variance from the baseline attitude may be detected, based on the online content of the author. In response to the variance, a current mood of the author is determined and, using the current mood and the raw sentiment score, another adjusted sentiment score for the online content instance is generated. The baseline attitude of the author may be determined using one or more of an analysis of the online content instance, a demographic profile of the author, and a subject matter area of the online content instance. The detection of the variance from the baseline attitude may incorporate a frequency of instances of online content.
Public/Granted literature
- US20170235830A1 Adjusting Sentiment Scoring For Online Content Using Baseline Attitude of Content Author Public/Granted day:2017-08-17
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