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. 31, 2006

Filed:

Sep. 04, 2002
Applicants:

Scott H. Mills, Austin, TX (US);

Kurt M. Joseph, Austin, TX (US);

Robert R. Bushey, Cedar Park, TX (US);

John M. Martin, Austin, TX (US);

Benjamin A. Knott, Round Rock, TX (US);

Theodore B. Pasquale, Austin, TX (US);

Inventors:

Scott H. Mills, Austin, TX (US);

Kurt M. Joseph, Austin, TX (US);

Robert R. Bushey, Cedar Park, TX (US);

John M. Martin, Austin, TX (US);

Benjamin A. Knott, Round Rock, TX (US);

Theodore B. Pasquale, Austin, TX (US);

Assignee:

SBC Properties, L.P., Reno, NV (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2006.01); G06F 15/00 (2006.01); G06F 17/21 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method and system for automating the analysis of word frequencies includes a frequency system automatically analyzing a plurality of statements, a count engine, and a cluster engine. The count engine allows for the counting of unique words in the statements and the determination of a frequency of occurrence for each unique word. The frequency system further includes a phrase file allowing for the count engine to specify groups of words as single unique words and a synonym file allowing for the count engine to group one or more words together in synonym groups to be specified as single unique words. The cluster engine locates a plurality of clusters in the statements and determines a cluster frequency of occurrence for each of the clusters. The automated analysis of the statements allows for cost savings, more efficient use of time, and more reliable and consistent word frequency results.


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