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:
Nov. 19, 2019

Filed:

Apr. 14, 2016
Applicant:

Conduent Business Services, Llc, Dallas, TX (US);

Inventors:

Saurabh Kataria, Rochester, NY (US);

Arvind Agarwal, Delhi, IN;

Assignee:

Conduent Business Services, LLC, Florham Park, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); G06N 7/00 (2006.01); G06N 20/00 (2019.01); G06F 16/955 (2019.01); G06F 16/335 (2019.01); G06F 16/332 (2019.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06F 16/358 (2019.01); G06F 16/337 (2019.01); G06F 16/3322 (2019.01); G06F 16/3329 (2019.01); G06F 16/9535 (2019.01); G06F 16/9558 (2019.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01);
Abstract

A method for assigning a topic to a collection of microblog posts may include, by an acquisition module, receiving from at least one messaging service server, a plurality of posts, wherein each of the plurality of posts comprise post content; by a generation module, analyzing the posts and extract, from at least one of the posts, a link with an address to an external document; and, by the acquisition module, accessing the external document that is associated with the address and fetch external content associated with the document. The method may also include by the generation module: analyzing the post content to identify at least one label for each post, for each post that includes a link, analyzing the external content to identify a topic, and using a topic modeling technique to generate a trained topic model comprising a plurality of topics and a plurality of associated words.


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