Identifying entity representatives for topics reflected in content items using natural language processing
US10296530B2 · kind B2 · utility
3Cited by
1References
20Claims
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Assignee
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Key dates
| Filing date | Aug 30, 2016 |
| Grant date | May 21, 2019 |
| Priority date | — |
| Expiry date | Apr 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/36
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.