The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 15, 2013

Filed:

Jun. 17, 2011
Applicants:

Tyler J. Neylon, New York, NY (US);

Kerry L. Hannan, Mountain View, CA (US);

Ryan T. Mcdonald, MountainView, CA (US);

Michael Wells, Redwood City, CA (US);

Jeffrey C. Reynar, New York, NY (US);

Inventors:

Tyler J. Neylon, New York, NY (US);

Kerry L. Hannan, Mountain View, CA (US);

Ryan T. McDonald, MountainView, CA (US);

Michael Wells, Redwood City, CA (US);

Jeffrey C. Reynar, New York, NY (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
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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