Invention Grant
- Patent Title: Relativistic sentiment analyzer
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Application No.: US15098201Application Date: 2016-04-13
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Publication No.: US10546235B2Publication Date: 2020-01-28
- Inventor: Christopher Moudy , Todd Paterson , Kevin Berns
- Applicant: Pearson Education, Inc.
- Applicant Address: US MN Bloomington
- Assignee: Pearson Education, Inc.
- Current Assignee: Pearson Education, Inc.
- Current Assignee Address: US MN Bloomington
- Agency: Quarles and Brady LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N20/00 ; G06F17/27 ; G06F16/24 ; G06F17/28 ; G06N3/04 ; G06F16/242 ; G06F16/2457 ; H04L29/06

Abstract:
Sentiment analyzer systems may include feedback analytics servers configured to receive and analyze feedback data from various client devices. Feedback data may be received and analyzed to determine feedback context and sentiment scores. In some embodiments, natural language processing neural networks may be used to determine sentiment scores for the feedback data. Feedback data also may be grouped into feedback aggregations based on context, and sentiment scores may be calculated for each feedback aggregation. Sentiment analyzer outputs and corresponding output devices may be determined based on the sentiment scores and feedback contexts.
Public/Granted literature
- US20160300135A1 RELATIVISTIC SENTIMENT ANALYZER Public/Granted day:2016-10-13
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