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:
Oct. 26, 2010

Filed:

Jun. 30, 2006
Applicants:

Richard J. Carter, Richland, WA (US);

Jonathon D. Mccall, West Richland, WA (US);

Paul D. Whitney, Richland, WA (US);

Michelle L. Gregory, Richland, WA (US);

Alan E. Turner, Kennewick, WA (US);

Elizabeth G. Hetzler, Kennewick, WA (US);

Amanda M. White, Kennewick, WA (US);

Christian Posse, Seattle, WA (US);

Grant C. Nakamura, Kennewick, WA (US);

Inventors:

Richard J. Carter, Richland, WA (US);

Jonathon D. McCall, West Richland, WA (US);

Paul D. Whitney, Richland, WA (US);

Michelle L. Gregory, Richland, WA (US);

Alan E. Turner, Kennewick, WA (US);

Elizabeth G. Hetzler, Kennewick, WA (US);

Amanda M. White, Kennewick, WA (US);

Christian Posse, Seattle, WA (US);

Grant C. Nakamura, Kennewick, WA (US);

Assignee:

Battelle Memorial Institute, Richland, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Lexicon generation methods, computer implemented lexicon editing methods, lexicon generation devices, lexicon editors, and articles of manufacture are described according to some aspects. In one aspect, a lexicon generation method includes providing a seed vector indicative of occurrences of a plurality of seed terms within a plurality of text items, providing a plurality of content vectors indicative of occurrences of respective ones of a plurality of content terms within the text items, comparing individual ones of the content vectors with respect to the seed vector, and responsive to the comparing, selecting at least one of the content terms as a term of a lexicon usable in sentiment analysis of text.


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