公开(公告)号：US20200175068A1

公开(公告)日：2020-06-04

申请号：US16451688

申请日：2019-06-25

Applicant: Tata Consultancy Services Limited

Inventor： Deepa Tavargeri ADIGA ,  Mukul MALIK ,  Vaibhav SHARMA ,  Vivek BALARAMAN ,  Mayuri DUGGIRALA ,  Maitry BHAVSAR

IPC: G06F16/906 ,  G06F16/903 ,  G06F17/27

Abstract: This disclosure relates generally to data analysis, and more particularly to extract domain concepts to create domain dictionaries and ontologies. In one embodiment, the system collects a plurality of reference papers and further classifies the collected plurality of reference papers as relevant and irrelevant. Each of the ‘relevant’ reference papers is further processed by the system, during which the system identifies relevant sections from each document and further processes data in the relevant sections to extract required information and also to identify relationship between different extracted information, which is further used to create domain dictionaries and ontologies.

公开(公告)号：US20200286506A1

公开(公告)日：2020-09-10

申请号：US16812757

申请日：2020-03-09

Applicant: Tata Consultancy Services Limited

Inventor： Gauri Ashutosh DESHPANDE ,  Sachin PATEL ,  Mayuri DUGGIRALA ,  Venkata Subramanian VIRARAGHAVAN

IPC: G10L25/63 ,  G10L15/22 ,  G10L15/02 ,  G10L15/06

Abstract: This disclosure relates generally to speech signal processing, and more particularly to a method and system for processing speech signal for emotion identification. The system processes a speech signal collected as input, during which a plurality of differential features corresponding to a plurality of frames of the speech signal are extracted. Further, the differential features are compared with an emotion recognition model to identify at least one emotion matching the speech signal, and then the at least one emotion is associated with the speech signal.

公开(公告)号：US20210295735A1

公开(公告)日：2021-09-23

申请号：US17199562

申请日：2021-03-12

Applicant: Tata Consultancy Services Limited

Inventor： Balasubramaniam KRISHNAN ,  Venkatachari RAGHAVAN ,  Arun VIJAYAKUMAR ,  Kartik MURALIDHARAN ,  Avik GHOSE ,  Mayuri DUGGIRALA

IPC: G09B19/00 ,  A61B5/11 ,  G16H20/70

Abstract: A processor implemented method of determining personalized wellness measures associated plurality of dimensions of an individual is provided. The processor implemented method includes at least one of: receiving, plurality of information associated with plurality of sensors; processing, the plurality of information associated with the plurality of sensors to obtain plurality of low-level features; determining, at least one digital behavioral marker based on the plurality of low-level features; processing, at least one dimension associated with a plurality of well-being of the individual based on the at least one digital behavioral marker to determine a set of objective features; generating, one or more wellness scores for the set of objective features associated with the at least one well-being dimension of the individual; and dynamically recommending, one or more behavior changes based on the one or more generated wellness scores of the individual.

公开(公告)号：US20210216909A1

公开(公告)日：2021-07-15

申请号：US17036254

申请日：2020-09-29

Applicant: Tata Consultancy Services Limited

Inventor： Deepa ADIGA ,  Maitry BHAVSAR ,  Mayuri DUGGIRALA ,  Sachin PATEL

IPC: G06N20/00 ,  G06F40/284 ,  G06F40/253 ,  G06F40/268 ,  G06K9/62

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.