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:
Jan. 23, 2024

Filed:

Jun. 23, 2021
Applicant:

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

Inventors:

Pablo Meyer Rojas, Brooklyn, NY (US);

Guillermo Cecchi, New York, NY (US);

Elif Eyigoz, Lake Peekskill, NY (US);

Raquel Norel, Bronx, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/20 (2020.01); G06V 10/46 (2022.01); G06F 18/2431 (2023.01);
U.S. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 18/2431 (2023.01); G06V 10/464 (2022.01);
Abstract

Taste and smell classification from multilanguage descriptions can be performed by extracting, by one or more processors using natural language processing, a text including one or more words associated with taste and smell perceptions from an input received from a plurality of users. The input includes multilanguage information regarding at least one of changes in smell and changes in taste perceived by each of the plurality of users. Feature vectors are generated for the text extracted from the input using global vectors, and a distance between the feature vectors and a plurality of reference descriptors associated with taste and smell is calculated for determining a similarity between the text and the reference descriptors and creating a training dataset based on which a classification model is generated for categorizing the plurality of users according to the at least one of changes in smell and changes in taste.


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