Invention Grant
- Patent Title: Identifying entity representatives for topics reflected in content items using natural language processing
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Application No.: US15252159Application Date: 2016-08-30
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Publication No.: US10296530B2Publication Date: 2019-05-21
- Inventor: Yi Zheng , Chi-Yi Kuan , Hu Wang , Rui Zhao , Yongzheng Zhang
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Hickman Palermo Becker Bingham LLP
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F16/35 ; G06F16/36

Abstract:
A topical representative assessment system implements techniques for determining entities that are ambassadors for one or more topics. The ambassadors are determined based on content items that they have authored or content items that are otherwise attributed to them. An ambassador may be any type of entity such as a person, a company, or an organization. Machine analytics may be used to determine whether a content item corresponds to a specific topic, determine a sentiment for a content item, analyze feedback for a content item, or any combination of these.
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