The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 07, 2010
Filed:
Jan. 31, 2008
Pablo Funes, Somerville, MA (US);
Elena Popovici, Boston, MA (US);
Paolo Gaudiano, Essex, MA (US);
Daphna Buchsbaum, Berkeley, CA (US);
Denis Garagic, Wayland, MA (US);
M. Ihsan Ecemis, Boston, MA (US);
Chris Bingham, Cambridge, MA (US);
Eric Bonabeau, Winchester, MA (US);
Pablo Funes, Somerville, MA (US);
Elena Popovici, Boston, MA (US);
Paolo Gaudiano, Essex, MA (US);
Daphna Buchsbaum, Berkeley, CA (US);
Denis Garagic, Wayland, MA (US);
M. Ihsan Ecemis, Boston, MA (US);
Chris Bingham, Cambridge, MA (US);
Eric Bonabeau, Winchester, MA (US);
Icosystem Corporation, Cambridge, MA (US);
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.