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US Patent 7987188 Domain-specific sentiment classification

Patent 7987188 was granted and assigned to Google on July, 2011 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Current Assignee
Google
Google
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
79871881
Patent Inventor Names
Tyler J. Neylon1
Jeffrey C. Reynar1
Kerry L. Hannan1
Michael Wells1
Ryan T. McDonald1
Date of Patent
July 26, 2011
1
Patent Application Number
118442221
Date Filed
August 23, 2007
1
Patent Citations Received
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US Patent 12086857 Search with machine-learned model-generated queries
2
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US Patent 11669879 Computer-implemented method, a computer program product and a system for generating an article of manufacture
3
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US Patent 11941678 Search with machine-learned model-generated queries
4
Patent Primary Examiner
James Trujillo
James Trujillo
1
Patent abstract

A domain-specific sentiment classifier that can be used to score the polarity and magnitude of sentiment expressed by domain-specific documents is created. A domain-independent sentiment lexicon is established and a classifier uses the lexicon to score sentiment of domain-specific documents. Sets of high-sentiment documents having positive and negative polarities are identified. The n-grams within the high-sentiment documents are filtered to remove extremely common n-grams. The filtered n-grams are saved as a domain-specific sentiment lexicon and are used as features in a model. The model is trained using a set of training documents which may be manually or automatically labeled as to their overall sentiment to produce sentiment scores for the n-grams in the domain-specific sentiment lexicon. This lexicon is used by the domain-specific sentiment classifier.

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