Larry Clarence Proctor

US Patent:

8010524, Aug 30, 2011

Filed:

Oct 29, 2007

Appl. No.:

11/927238

Inventors:

Ying Chen - San Jose CA, US
Amit Behal - San Jose CA, US
Thomas D. Griffin - Campbell CA, US
Larry L. Proctor - Coppell TX, US
W. Scott Spangler - San Martin CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/30

US Classification:

707722, 707769

Abstract:

Consumer-generated media (CGM) and/or other media are monitored to allow an organization to become aware of, and respond to, issues that may affect how it is perceived by the public. An extract, transform, load (ETL) engine is used to process CGM and other media content, and an analytical engine utilizes a multi-step progressive filtering approach to identify those documents that are most relevant. The filtering approach includes executing broad queries to extract relevant content from different CGM and other sources, extracting text snippets from the relevant content and performing de-duplication, defining organizational identity (e. g. , brand name, trade name, or company name) and hot-topic models using a rule-based and statistical-based approach, and using the models together in an orthogonal filtering approach to effectively generate alerts and reports. The methodology is found to be substantially more effective compared to a conventional keyword based approach.

US Patent:

8606815, Dec 10, 2013

Filed:

Dec 9, 2008

Appl. No.:

12/331271

Inventors:

Ying Chen - San Jose CA, US
Larry Proctor - Coppell TX, US
William Scott Spangler - San Martin CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707777, 707737

Abstract:

Systems and methods for systematically analyzing an electronic text are described. In one embodiment, the method includes receiving the electronic text from a plurality of sources. The method also includes determining an at least one term of interest to be identified in the electronic text. The method further includes identifying a plurality of locations within the electronic text including the at least one term of interest. The method also includes for each location within a plurality of locations, creating a snippet from a text segment around the at least one term of interest at the location within the electronic text. The method further includes creating multiple taxonomies for the at least one term of interest from the snippets, wherein the taxonomies include an at least one category. The method also includes determining co-occurrences between the multiple taxonomies to determine associations between categories of a different taxonomies of the multiple taxonomies.

US Patent:

20080195678, Aug 14, 2008

Filed:

Feb 13, 2007

Appl. No.:

11/674590

Inventors:

YING CHEN - SAN JOSE CA, US
JEFFREY THOMAS KREULEN - SAN JOSE CA, US
LARRY LEE PROCTOR - COPPELL TX, US
JAMES J. RHODES - LOS GATOS CA, US
WILLIAM SCOTT SPANGLER - SAN MARTIN CA, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 17/30
G06F 7/00

US Classification:

707205, 707 7, 707E17001, 707E17014

Abstract:

Disclosed is a method of identifying partnering potential by: assembling a set of target patents representative of an industry of interest; building a dictionary of text feature entries; generating a set of text feature clusters; creating one or more contingency tables for assignees; and deriving an indication of partnering potential between the first assignee and the second assignee by comparing the values for each category for each assignee in each contingency table.