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US Patent 10402745 Method and system for analysing sentiments

Patent 10402745 was granted and assigned to Semeon Analytics on September, 2019 by the United States Patent and Trademark Office.

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Patent

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Current Assignee
Semeon Analytics
Semeon Analytics
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10402745
Date of Patent
September 3, 2019
Patent Application Number
14432436
Date Filed
September 30, 2013
Patent Citations Received
‌
US Patent 11405349 Viral message detection and control in social media messaging
Patent Primary Examiner
‌
Alan Chen
Patent abstract

The present system and method for analyzing sentiment is based on fuzzy set theory and clustering to classify text as positive, negative, or objective. The method for training and testing a document collection to analyze sentiment comprises computing a frequency matrix comprising at least one row and at least column vectors, executing term reduction of the terms, enumerating categories, computing centroids of the enumerated categories and computing a fuzzy polarity map. The row vectors may correspond to terms and the column vectors may correspond to documents. The frequencies of terms in a document indicate the relevance of the document to a query.

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