Patents by Inventor Darren Chuang

Darren Chuang 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).

  • Patent number: 10853569
    Abstract: Various technologies pertaining to constructing a lexicon for a defined context are set forth herein. Social media text is acquired, where the social media text has contextual data that corresponds thereto. The social media text is encoded to form encoded text (in Unicode), and the contextual data is assigned to the encoded text. A text corpus for a defined context is formed by filtering the encoded text based upon contextual data, such as location. Frequency of occurrence of words or phrases in the text corpus is used to identify words or phrases that are to be included in the lexicon.
    Type: Grant
    Filed: April 4, 2019
    Date of Patent: December 1, 2020
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Darren Chuang, Jingmei Li, Zhen Liu, Mak Chiu Chun Bobby
  • Publication number: 20190361976
    Abstract: Various technologies pertaining to constructing a lexicon for a defined context are set forth herein. Social media text is acquired, where the social media text has contextual data that corresponds thereto. The social media text is encoded to form encoded text (in Unicode), and the contextual data is assigned to the encoded text. A text corpus for a defined context is formed by filtering the encoded text based upon contextual data, such as location. Frequency of occurrence of words or phrases in the text corpus is used to identify words or phrases that are to be included in the lexicon.
    Type: Application
    Filed: April 4, 2019
    Publication date: November 28, 2019
    Inventors: Darren CHUANG, Jingmei LI, Zhen LIU, Mak Chiu Chun Bobby
  • Patent number: 10296583
    Abstract: Various technologies pertaining to constructing a lexicon for a defined context are set forth herein. Social media text is acquired, where the social media text has contextual data that corresponds thereto. The social media text is encoded to form encoded text (in Unicode), and the contextual data is assigned to the encoded text. A text corpus for a defined context is formed by filtering the encoded text based upon contextual data, such as location. Frequency of occurrence of words or phrases in the text corpus is used to identify words or phrases that are to be included in the lexicon.
    Type: Grant
    Filed: June 2, 2017
    Date of Patent: May 21, 2019
    Assignee: Microsoft Technology Licensing LLC
    Inventors: Darren Chuang, Jingmei Li, Zhen Liu, Mak Chiu Chun Bobby
  • Publication number: 20170337179
    Abstract: Various technologies pertaining to constructing a lexicon for a defined context are set forth herein. Social media text is acquired, where the social media text has contextual data that corresponds thereto. The social media text is encoded to form encoded text (in Unicode), and the contextual data is assigned to the encoded text. A text corpus for a defined context is formed by filtering the encoded text based upon contextual data, such as location. Frequency of occurrence of words or phrases in the text corpus is used to identify words or phrases that are to be included in the lexicon.
    Type: Application
    Filed: June 2, 2017
    Publication date: November 23, 2017
    Inventors: Darren Chuang, Jingmei Li, Zhen Liu, Mak Chiu Chun Bobby
  • Patent number: 9697195
    Abstract: Various technologies pertaining to constructing a lexicon for a defined context are set forth herein. Social media text is acquired, where the social media text has contextual data that corresponds thereto. The social media text is encoded to form encoded text (in Unicode), and the contextual data is assigned to the encoded text. A text corpus for a defined context is formed by filtering the encoded text based upon contextual data, such as location. Frequency of occurrence of words or phrases in the text corpus is used to identify words or phrases that are to be included in the lexicon.
    Type: Grant
    Filed: May 19, 2015
    Date of Patent: July 4, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Darren Chuang, Jingmei Li, Zhen Liu, Mak Chiu Chun Bobby
  • Publication number: 20160110341
    Abstract: Various technologies pertaining to constructing a lexicon for a defined context are set forth herein. Social media text is acquired, where the social media text has contextual data that corresponds thereto. The social media text is encoded to form encoded text (in Unicode), and the contextual data is assigned to the encoded text. A text corpus for a defined context is formed by filtering the encoded text based upon contextual data, such as location. Frequency of occurrence of words or phrases in the text corpus is used to identify words or phrases that are to be included in the lexicon.
    Type: Application
    Filed: May 19, 2015
    Publication date: April 21, 2016
    Inventors: Darren Chuang, Jingmei Li, Zhen Liu, Mak Chiu Chun Bobby
  • Publication number: 20160092602
    Abstract: Embodiments are directed to methods and systems for defining customizable data services through dynamic configuration of a dashboard using data feeds, analytics, and visual artifacts. A customizable dashboard is built using a basic framework, design time configuration, instantiation time binding, and runtime ad hoc data input. The customizable data service binds business logic in a data query service with a visual tile template that provides specific parameters for visualizations and/or queries. The visual tile templates are pluggable visual on multiple dashboard pages.
    Type: Application
    Filed: January 24, 2015
    Publication date: March 31, 2016
    Inventors: Zhen Liu, Chiu-Chun Bobby Mak, Michael Fischer, Dafeng Wang, Darren Chuang, Ruifeng Wu, Xin Peng, Jingmei Jessica Li, QingHu Li