Gregory J Martin

US Patent:

20100306192, Dec 2, 2010

Filed:

May 28, 2010

Appl. No.:

12/790332

Inventors:

Shyam Kapur - Sunnyvale CA, US
Anesh S. Madapoosi - Sunnyvale CA, US
Gregory C. Martin - Boulder Creek CA, US

International Classification:

G06F 17/30

US Classification:

707723, 707E17014

Abstract:

A method and system for a search engine for user generated content have been disclosed. According to one embodiment, a computer implemented method comprises receiving a search request from a client, the search request directed to user generated content. Relevant user generated content is retrieved, wherein retrieving comprises searching processed user generated content, and wherein processing user generated content comprises receiving first input data including text, creating a substring of text from the first input data and categorizing the substring to produce a concept associated with the substring, wherein the substring is categorized according to one of dictionaries or pattern analysis. An indication of sentiment is assigned to the concept associated with the substring and an indication of influence is assigned to the concept associated with the substring. The relevant user generated content is displayed.

US Patent:

20200192531, Jun 18, 2020

Filed:

Dec 16, 2019

Appl. No.:

16/716323

Inventors:

- Palo Alto CA, US
Sharon Hao - San Jose CA, US
Bradley Engel - Gaithersburg MD, US
Xinyi Wang - Ithaca NY, US
Jack Grossman - Palo Alto CA, US
Gregory Martin - Royal Oak MI, US
Andrew Elder - Cherry Hills Village CO, US
Ryan Xie - Fremont CA, US
Brian Hamilton - Arlington VA, US
Joshua Zavilla - Washington DC, US
Christopher Richbourg - Arlington VA, US
Ryan Beiermeister - Washington DC, US
Marc Frankel - New York City NY, US

International Classification:

G06F 3/0482
G06F 40/169
G06F 3/0481
G06Q 10/10
G06F 3/0484
G06T 11/20

Abstract:

Computer-implemented systems and methods are disclosed for automatically generating and displaying a chronology of events, where events may be represented by data objects in one or more databases. Events/data objects may be identified as relevant to an investigation or analysis based on specified criteria. A timeline may be generated based on the identified set of relevant events, and interactive user interfaces may be generated and displayed that present the events as a timeline and a list. Events may be selected from the timeline or the list, may be identified as key events in the chronology, and additional events related to a selected event may be determined and added to the chronology. Timelines may be compared to other data sets, including other timelines, other event lists, and other relevant data.

US Patent:

20180095621, Apr 5, 2018

Filed:

Nov 17, 2017

Appl. No.:

15/817069

Inventors:

- Palo Alto CA, US
Sharon Hao - San Jose CA, US
Bradley Engel - Gaithersburg MD, US
Xinyi Wang - Ithaca NY, US
Jack Grossman - Palo Alto CA, US
Gregory Martin - Royal Oak MI, US
Andrew Elder - Cherry Hills Village CO, US
Ryan Xie - Fremont CA, US
Brian Hamilton - Arlington VA, US
Joshua Zavilla - Washington DC, US
Christopher Richbourg - Arlington VA, US
Ryan Beiermeister - Washington DC, US
Marc Frankel - New York City NY, US

International Classification:

G06F 3/0482
G06T 11/20
G06F 17/24
G06F 3/0481
G06F 3/0484
G06Q 10/10

Abstract:

Computer-implemented systems and methods are disclosed for automatically generating and displaying a chronology of events, where events may be represented by data objects in one or more databases. Events/data objects may be identified as relevant to an investigation or analysis based on specified criteria. A timeline may be generated based on the identified set of relevant events, and interactive user interfaces may be generated and displayed that present the events as a timeline and a list. Events may be selected from the timeline or the list, may be identified as key events in the chronology, and additional events related to a selected event may be determined and added to the chronology. Timelines may be compared to other data sets, including other timelines, other event lists, and other relevant data.