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:
Sep. 28, 2021

Filed:

Nov. 30, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Nadiya Kochura, Bolton, MA (US);

Janani Janakiraman, Austin, TX (US);

Fang Lu, Billerica, MA (US);

Susan M. Cox, Rochester, MN (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06F 3/0487 (2013.01); H04L 29/08 (2006.01); G06F 16/23 (2019.01); G06Q 50/00 (2012.01); G06F 16/84 (2019.01); G06F 16/435 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0255 (2013.01); G06F 3/0487 (2013.01); G06F 16/23 (2019.01); H04L 67/025 (2013.01); G06F 16/437 (2019.01); G06F 16/86 (2019.01); G06Q 50/01 (2013.01);
Abstract

A method, computer program product, and system includes a processor(s) obtaining content displayed to the user on a computing device communicatively coupled to an input device(s) and/or output device(s). The processor(s) analyzes the content, to identify portions that represent types of content and tags the identified portions with one or more generic tags. The processor(s) generates a sentiment profile of the user by identifying interests of the user and identifying subjects of past electronic communications by the user. The processor(s) maps sentiments in the sentiment profile, to topics, based on the interests and the subjects identified. The processor(s) identifies an identified portion of the content relevant to a topic(s) mapped to a sentiment. The processor(s) generates and implements a physical change to the input device(s) or output device(s) to elicit a sentiment from the user, where the sentiment is mapped to the topic(s).


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