Invention Grant
- Patent Title: Hybrid model for short text classification with imbalanced data
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Application No.: US16379192Application Date: 2019-04-09
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Publication No.: US11328221B2Publication Date: 2022-05-10
- Inventor: Yang Yu , Ming Tan , Ravi Nair , Haoyu Wang , Saloni Potdar
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephanie L. Carusillo
- Main IPC: G06F15/16
- IPC: G06F15/16 ; G06N20/00 ; G06F16/35

Abstract:
A method of text classification includes generating a text embedding vector representing a text sample and applying weights of a regression layer to the text embedding vector to generate a first data model output vector. The method also includes generating a plurality of prototype embedding vectors associated with a respective classification labels and comparing the plurality of prototype embedding vectors to the text embedding vector to generate a second data model output vector. The method further includes assigning a particular classification label to the text sample based on the first data model output vector, the second data model output vector, and one or more weighting values.
Public/Granted literature
- US20200327445A1 HYBRID MODEL FOR SHORT TEXT CLASSIFICATION WITH IMBALANCED DATA Public/Granted day:2020-10-15
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