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:
Apr. 11, 2023

Filed:

Sep. 29, 2020
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Deepa Adiga, Pune, IN;

Maitry Bhavsar, Pune, IN;

Mayuri Duggirala, Pune, IN;

Sachin Patel, Pune, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06F 40/268 (2020.01); G06F 18/10 (2023.01); G06F 18/25 (2023.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 18/10 (2023.01); G06F 18/254 (2023.01); G06F 40/253 (2020.01); G06F 40/268 (2020.01); G06F 40/284 (2020.01); G06N 20/00 (2019.01);
Abstract

This disclosure relates generally to methods and systems for automatic extraction of self-reported activities of an individual from a freestyle narrative text. Manual extraction of such self-reported activities of the individual from the freestyle narrative text over the period of time is a complex task and consume a significant amount of time. The present systems and methods utilize a predefined grammar pattern and a natural language processing technique to generate one or more candidate activity phrases, from the pre-processed input text posted by the individual. A deep learning based supervised classification model is utilized to automatically extract the one or more self-reported activities of the individual, from the one or more candidate activity phrases. Manual intervention and efforts of analyzing the freestyle narrative text to extract the self-reported activities are avoided. Longitudinal assessment of the self-reported activities may reveal routines and behavior of the individual.


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