Invention Grant
- Patent Title: Entity classification based on machine learning techniques
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Application No.: US15499372Application Date: 2017-04-27
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Publication No.: US11238363B2Publication Date: 2022-02-01
- Inventor: Rajeev Sinha , Meenakshi Arvind Lingayat
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N7/00 ; G06N20/00

Abstract:
A device may receive information that identifies a requirement. The device may receive information associated with a set of positive entities and a set of negative entities. The device may identify a set of priority terms based on the information associated with the set of positive entities and the set of negative entities. The device may identify a first set of ancillary terms and a second set of ancillary terms based on the information that identifies the set of priority terms. The device may generate a model based on the set of priority terms, the first set of ancillary terms, and the second set of ancillary terms. The device may determine a set of classification scores, for a set of unclassified entities, based on information associated with the set of unclassified entities and the model. The device may provide information that identifies the set of classification scores to cause an action to be performed in association with the set of unclassified entities.
Public/Granted literature
- US20180314973A1 ENTITY CLASSIFICATION BASED ON MACHINE LEARNING TECHNIQUES Public/Granted day:2018-11-01
Information query