1
Kamal P Nigam, Matthew F Hurst: Topical sentiments in electronically stored communications. Buzzmetrics an Israel Corporation, Hanley Flight & Zimmerman, April 21, 2009: US07523085 (85 worldwide citation)

The present application presents methods for performing topical sentiment analysis on electronically stored communications employing fusion of polarity and topicality. The present application also provides methods for utilizing shallow NLP techniques to determine the polarity of an expression. The p ...


2
Kamal P Nigam, Robert G Stockton: Method for developing a classifier for classifying communications. Buzzmetrics an Israel corporation, Hanley Flight & Zimmerman, May 25, 2010: US07725414 (22 worldwide citation)

A computer assisted/implemented method for developing a classifier for classifying communications includes roughly four stages, where these stages are designed to be iterative: (1) a stage defining where and how to harvest messages (i.e., from Internet message boards, ews groups and the like), which ...


3
Kamal P Nigam, Matthew F Hurst: Topical sentiments in electronically stored communications. Buzzmetrics, Hanley Flight & Zimmerman, October 18, 2011: US08041669 (14 worldwide citation)

The present application presents methods for performing topical sentiment analysis on electronically stored communications employing fusion of polarity and topicality. The present application also provides methods for utilizing shallow NLP techniques to determine the polarity of an expression. The p ...


4
Kamal P Nigam, Matthew F Hurst: Topical sentiments in electronically stored communications. Buzzmetrics, Hanley Flight & Zimmerman, January 25, 2011: US07877345 (12 worldwide citation)

The present application presents methods for performing topical sentiment analysis on electronically stored communications employing fusion of polarity and topicality. The present application also provides methods for utilizing shallow NLP techniques to determine the polarity of an expression. The p ...


5
Mark Palatucci, Panayiotis Mavrommatis, Niels Provos, Christopher K Monson, Yunkai Zhou, Kamal P Nigam, Clayton W Bavor Jr, Eric L Davis, Rachel Nakauchi: Intrusive feature classification model. Google, Fish & Richardson P C, August 2, 2011: US07991710 (11 worldwide citation)

Landing pages associated with advertisements are partitioned into training landing pages and testing landing pages. Iterative training and testing of a classification mode on intrusion features of the partitioned landing pages is conducted until the occurrence of a cessation event. Feature weights a ...


6
Yuk Wah Wong, Dominic Widdows, Thomas David Lokovic, Kamal P Nigam: Attribute-value extraction from structured documents. Google, Fish & Richardson P C, February 4, 2014: US08645391 (10 worldwide citation)

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for attribute-value extraction from structured documents. In one aspect, a method includes obtaining an initial attribute whitelist, extracting candidate attributes from a first collection of documents, a ...


7
Niels Provos, Yunkai Zhou, Clayton W Bavor Jr, Eric L Davis, Mark Palatucci, Kamal P Nigam, Christopher K Monson, Panayiotis Mavrommatis, Rachel Nakauchi: Detecting an intrusive landing page. Google, Fish & Richardson P C, September 13, 2011: US08019700 (7 worldwide citation)

Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidat ...


8
Carl J Evankovich, Kawaljit Gandhi, Nitin Mangtani, Kamal P Nigam, Abdulrahman Salem: System and method for presenting content on a retailers content page using manufacturers product information. Google, Fish & Richardson P C, December 10, 2013: US08606635 (3 worldwide citation)

System, methods and computer program products for identifying a featured product based on product information submitted by retailers and manufacturers are described. In some implementations, a retailer and a manufacturer can supply product information to an ad serving system. Based on the product in ...


9
Yunkai Zhou, Niels Provos, Clayton W Bavor Jr, Eric L Davis Jr, Mark Palatucci, Kamal P Nigam, Christopher K Monson, Panayiotis Mavrommatis, Rachel Nakauchi: Intrusive software management. Google, Fish & Richardson P C, August 20, 2013: US08515896 (2 worldwide citation)

Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidat ...


10
Niels Provos, Yunkai Zhou, Clayton W Bavor Jr, Eric L Davis, Mark Palatucci, Kamal P Nigam, Christopher K Monson, Panayiotis Mavrommatis, Rachel Nakauchi: Intrusive software management. Google, Fish & Richardson P C, February 7, 2017: US09563776

Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidat ...