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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.

Patent No.:

US 9875230 B1

PDFFull Text
Date of Patent:
Jan. 23, 2018

Filed:

Apr. 08, 2016

Text analysis on unstructured text to identify a high level of intensity of negative thoughts or beliefs

Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Patrick W. Fink, Charlotte, NC (US);

Kristin E. McNeil, Charlotte, NC (US);

Philip E. Parker, York, SC (US);

David B. Werts, Charlotte, NC (US);

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US);

Attorneys:

Ryan Lewis

Edell, Shapiro & Finnan, LLC

Primary Examiner:

Charlotte M Baker

Int. Cl.
CPC ...
G06F 17/27 (2006.01);
U.S. Cl.
CPC ...
G06F 17/2705 (2013.01); G06F 17/2785 (2013.01);
Abstract

A method, a processing device, and a computer program product are provided. Via at least one processing device, each text file is selected from a collection of text files, wherein the collection of text files has an intensity with respect to negative sentiment toward a common issue. At least one profile algorithm is performed, each calculating a corresponding profile score for that text file. At least one corresponding profile score of the text files of the collection are combined to produce an aggregated profile score for each of at least one profile algorithm. The aggregated profile score of each of the at least one profile algorithm for the collection is stored. A signature for the collection of text files includes the aggregated profile score of each of the at least one profile algorithm for the collection.

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Quick Actions:

Fink, Patrick. (2018). Text analysis on unstructured text to identify a high level of intensity of negative thoughts or beliefs (U.S. Patent No. 9875230). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/9875230

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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