Patents by Inventor Saiyad Shah

Saiyad Shah has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • SENTIMENT POLARITY FOR USERS OF A SOCIAL NETWORKING SYSTEM
    Publication number: 20200286000
    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
    Type: Application
    Filed: May 27, 2020
    Publication date: September 10, 2020
    Applicant: Facebook, Inc.
    Inventors: Guven Burc ARPAT, Saiyad SHAH, Srikant Ramakrishna AYYAR
  • Sentiment polarity for users of a social networking system
    Patent number: 10706367
    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
    Type: Grant
    Filed: September 10, 2013
    Date of Patent: July 7, 2020
    Assignee: FACEBOOK, INC.
    Inventors: Guven Burc Arpat, Saiyad Shah, Srikant Ramakrishna Ayyar
  • Sentiment polarity for users of a social networking system
    Patent number: 10679147
    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: June 9, 2020
    Assignee: Facebook, Inc.
    Inventors: Guven Burc Arpat, Saiyad Shah, Srikant Ramakrishna Ayyar
  • SENTIMENT POLARITY FOR USERS OF A SOCIAL NETWORKING SYSTEM
    Publication number: 20180012146
    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
    Type: Application
    Filed: August 31, 2017
    Publication date: January 11, 2018
    Inventors: Guven Burc Arpat, Saiyad Shah, Srikant Ramakrishna Ayyar
  • SENTIMENT POLARITY FOR USERS OF A SOCIAL NETWORKING SYSTEM
    Publication number: 20150074020
    Abstract: A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
    Type: Application
    Filed: September 10, 2013
    Publication date: March 12, 2015
    Applicant: Facebook, Inc.
    Inventors: Guven Burc Arpat, Saiyad Shah, Srikant Ramakrishna Ayyar