Invention Grant
- Patent Title: Natural language processing techniques using target composite sentiment designation
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Application No.: US17517120Application Date: 2021-11-02
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Publication No.: US12254273B2Publication Date: 2025-03-18
- Inventor: Rajesh Sabapathy , Sumeet Jain , Saurabh Bhargava , Sandeep Chandra Das , Gourav Awasthi , Praveen Bansal , Gaurav , Animesh
- Applicant: Optum, Inc.
- Applicant Address: US MN Minnetonka
- Assignee: Optum, Inc.
- Current Assignee: Optum, Inc.
- Current Assignee Address: US MN Minnetonka
- Agency: ALSTON & BIRD LLP
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06N3/04

Abstract:
There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating an emotional sentiment score without the use of labelled data. In one example, embodiments comprise receiving an input text sequence, generating an intermediate emotional sentiment score object based at least in part on the input text sequence and by utilizing an emotional sentiment machine learning model, generating an overall emotional sentiment score based at least in part on the intermediate sentiment score object and by utilizing an emotional sentiment score transformation object, and performing one or more prediction-based actions based at least in part on the overall emotional sentiment score.
Public/Granted literature
- US20230137260A1 NATURAL LANGUAGE PROCESSING TECHNIQUES USING TARGET COMPOSITE SENTIMENT DESIGNATION Public/Granted day:2023-05-04
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