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US Patent 10592605 Discovering terms using statistical corpus analysis

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10592605
Date of Patent
March 17, 2020
Patent Application Number
14722984
Date Filed
May 27, 2015
Patent Citations Received
‌
US Patent 11954438 Digital content vernacular analysis
0
‌
US Patent 11461339 Extracting and surfacing contextually relevant topic descriptions
Patent Primary Examiner
‌
Mariela Reyes
Patent abstract

Software that extracts contextually relevant terms from a text sample (or corpus) by performing the following steps: (i) identifying a first term from a corpus, based, at least in part, on a set of initial contextual characteristic(s), where each initial contextual characteristic of the set of initial contextual characteristic(s) relates to the contextual use of at least one category related term of a set of category related term(s) in the corpus; (ii) adding the first term to the set of category related term(s), thereby creating a revised set of category related term(s) and a set of first term contextual characteristic(s), where each first term contextual characteristic of the set of first term contextual characteristic(s) relates to the contextual use of the first term in the corpus; and (iii) identifying a second term from the corpus, based, at least in part, on the set of first term contextual characteristic(s).

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