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.

Date of Patent:
Oct. 06, 2020

Filed:

Apr. 21, 2017
Applicant:

Fiscalnote, Inc., Washington, DC (US);

Inventors:

Brian Grom, Lake Worth, FL (US);

Vladimir Eidelman, Chevy Chase, MD (US);

Daniel Argyle, Alexandria, VA (US);

Jervis Pinto, Silver Spring, MD (US);

Manuela Rios, Washington, DC (US);

Assignee:

FiscalNote, Inc., Washington, DC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2012.01); G06Q 50/26 (2012.01); G06Q 10/06 (2012.01); G06F 16/28 (2019.01); G06F 16/33 (2019.01); G06F 40/30 (2020.01); G06F 40/205 (2020.01); G06F 40/263 (2020.01); G06N 5/02 (2006.01); G06Q 50/18 (2012.01); G06F 3/0482 (2013.01); G06F 3/0484 (2013.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06T 11/20 (2006.01);
U.S. Cl.
CPC ...
G06Q 50/26 (2013.01); G06F 3/0482 (2013.01); G06F 3/04847 (2013.01); G06F 16/288 (2019.01); G06F 16/3331 (2019.01); G06F 40/205 (2020.01); G06F 40/263 (2020.01); G06F 40/30 (2020.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06Q 10/06375 (2013.01); G06Q 50/18 (2013.01); G06N 20/00 (2019.01); G06Q 2230/00 (2013.01); G06T 11/206 (2013.01); G06T 2200/24 (2013.01);
Abstract

A text analytics system may ascertain sentiment about multi-sectioned documents and may associate the sentiment with particular sections. The system may include at least one processor configured to scrape the Internet for text data associated with comments expressed by a plurality of individuals about a common multi-sectioned document. The comments may not be not linked to a particular section. The at least one processor may be further configured to analyze the text data in order to determine a sentiment associated with each comment; apply an association analysis filter to the text data in order to correlate at least a portion of each comment with one or more sections of the multi-sectioned document; and transmit for display to the system user a visualization of the sentiment mapped to one or more sections of the multi-sectioned document.


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