Patents by Inventor Chris Bingham

Chris Bingham 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: 8103682
    Abstract: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.
    Type: Grant
    Filed: August 24, 2010
    Date of Patent: January 24, 2012
    Assignee: Icosystem Corporation
    Inventors: Pablo Funes, Elena Popovici, Paolo Gaudiano, Daphna Buchsbaum, Denis Garagic, M. Ihsan Ecemis, Eric Bonabeau, Chris Bingham
  • Publication number: 20110047455
    Abstract: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.
    Type: Application
    Filed: August 24, 2010
    Publication date: February 24, 2011
    Applicant: Icosystem Corporation
    Inventors: Pablo Funes, Elena Popovici, Paolo Gaudiano, Daphna Buchsbaum, Denis Garagic, M. Ihsan Ecemis, Chris Bingham, Eric Bonabeau
  • Patent number: 7792816
    Abstract: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.
    Type: Grant
    Filed: January 31, 2008
    Date of Patent: September 7, 2010
    Assignee: Icosystem Corporation
    Inventors: Pablo Funes, Elena Popovici, Paolo Gaudiano, Daphna Buchsbaum, Denis Garagic, M. Ihsan Ecemis, Chris Bingham, Eric Bonabeau
  • Publication number: 20090144617
    Abstract: Methods and systems for text data analysis and visualization enable a user to specify a set of text data sources and visualize the content of the text data sources in an overview of salient features in the form of a network of words. A user may focus on one or more words to provide a visualization of connections specific to the focused word(s). The visualization may include clustering of relevant concepts within the network of words. Upon selection of a word, the context thereof, e.g., links to articles where the word appears, may be provided to the user. Analyzing may include textual statistical correlation models for assigning weights to words and links between words. Displaying the network of words may include a force-based network layout algorithm. Extracting clusters for display may include identifying “communities of words” as if the network of words was a social network.
    Type: Application
    Filed: January 31, 2008
    Publication date: June 4, 2009
    Inventors: Pablo Funes, Elena Popovici, Paolo Gaudiano, Daphna Buchsbaum, Denis Garagic, M. Ihsan Ecemis, Chris Bingham, Eric Bonabeau