Invention Grant
- Patent Title: Machine learning methods to determine a likelihood for an event to occur through sentiment analysis of digital conversations
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Application No.: US18482547Application Date: 2023-10-06
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Publication No.: US12079583B2Publication Date: 2024-09-03
- Inventor: Thomas Kurian , Yasuyuki Kobayashi , Asuka Ishii , Korbboon Sathirakul , Thanisorn Oon Pitipongsa , Veer Vikram Singh Chauhan
- Applicant: Treasure Data, Inc.
- Applicant Address: US CA Mountain View
- Assignee: Treasure Data, Inc.
- Current Assignee: Treasure Data, Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Baker Botts L.L.P.
- Priority: IN 2211014184 2022.03.16
- Main IPC: G16H20/10
- IPC: G16H20/10 ; G06F40/30 ; G06Q10/083 ; G06N20/00

Abstract:
A computer-implemented method can comprise accessing a trained learning machine, evaluating, using the machine learning model, the transcript to output a first sentiment score related to the first party in the unique domain, accessing digital engagement data representing engagement of the first party with digital assets associated with the second party, evaluating the one or more sentiment score values and the digital engagement data to output a value indicative of a likelihood of the first party to take a particular action, and determining whether the value is above a threshold, and if so, automatically sending a notification to a computer device associated with the second party.
Public/Granted literature
Information query