John Rehling

US Patent:

8463595, Jun 11, 2013

Filed:

Jun 28, 2012

Appl. No.:

13/536710

Inventors:

John Andrew Rehling - San Francisco CA, US
Thomas Gerardo Dignan - Mountain View CA, US

Assignee:

Reputation.com, Inc. - Redwood City CA

International Classification:

G06F 17/30867

US Classification:

704 9, 706 50, 707737

Abstract:

Performing detailed sentiment analysis includes generating a first sentiment score for a first entity based on a content source. The first sentiment score is generated with respect to a first dimension. A second sentiment score for the first entity is generated based on the content source. The second sentiment score is generated with respect to a second dimension.

US Patent:

8046348, Oct 25, 2011

Filed:

May 29, 2006

Appl. No.:

11/420785

Inventors:

John Andrew Rehling - San Francisco CA, US
Michael Jacob Osofsky - Palo Alto CA, US

Assignee:

NetBase Solutions, Inc. - Mountain View CA

International Classification:

G06F 17/30
G06F 7/00

US Classification:

707708, 707603

Abstract:

Searching computer-accessible content can be described as the utilization of an automated process to determine occurrences of where a sought-for concept is referred to in natural language discourse. Concept-based search refers to the reliable identification, within computer-accessible content that represents natural language discourse, of instances in which a particular pinnacle concept “C” is referenced. References to pinnacle concepts are not amenable to detection by the use of keywords. For each pinnacle concept “C,” whose reference is to be determined, a set of linguistic features can be compiled that is referred to herein as a “concept feature set. ” In general, it is desirable for a concept feature set to be “complete. ” A definition of completeness is presented. Concept-based search can be used in conjunction with keyword-based search.

US Patent:

20110258017, Oct 20, 2011

Filed:

Apr 15, 2010

Appl. No.:

12/760574

Inventors:

Patrick Ratnakanth Koppula - San Francisco CA, US
Greg Roberts - Napa CA, US
Nick Roberts - San Francisco CA, US
John Rehling - San Francisco CA, US

Assignee:

FFWD CORPORATION - San Francisco CA

International Classification:

G06Q 10/00

US Classification:

705 729

Abstract:

Methods and systems of interpretation of a trending term to develop a media content channel are disclosed. In one embodiment, a method includes interpreting a trending term to identify an association parameter when the trending term is received. In addition, the method also includes algorithmically determining a media attribute associated with the trending term using a computer process. The method also includes updating a channel with a related media content comprised of the media attribute. The media attribute may include a metadata, a visual data and/or an audio data. The trending term may be interpreted using an internal capturing and/or an external capturing when the trending term is received. The method may also include displaying the channel to a viewer using a cable transmission, a network, a wireless transmission, and/or a local storage medium.

US Patent:

8055608, Nov 8, 2011

Filed:

May 29, 2006

Appl. No.:

11/420782

Inventors:

John Andrew Rehling - San Francisco CA, US
Michael Jacob Osofsky - Palo Alto CA, US

Assignee:

NetBase Solutions, Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707101, 704 1

Abstract:

Pinnacle concepts are not amenable to detection by the use of keywords. A unit of natural language discourse (UNLD) “refers” to a pinnacle concept “C” when that UNLD uses linguistic expressions in such a way that “C” is regarded as expressed, used or invoked by an ordinary reader of “L. ” A reference can have a “reference level” value that is proportional to: the “strength” with which the pinnacle concept is referenced, the probability that a pinnacle concept is referenced or both strength and probability. Pinnacle concepts can be divided into Quantifiers and non-Quantifiers. A Quantifier can modify the reference level assigned to a non-Quantifier. A concept “C,” that is determined to be referenced by a UNLD “x,” after application of its Quantifiers, is said to be asserted by “x. ” Concept-based classification is the identification of whether a pinnacle concept “C” is asserted by a UNLD. Concept-based classification can be used for concept-based search.