A Novel Cascade Model for End-to-End Aspect-Based Social Comment Sentiment Analysis

A Novel Cascade Model for End-to-End Aspect-Based Social Comment Sentiment Analysis

The end-to-end aspect-based social comment sentiment analysis (E2E-ABSA) task aims to discover human’s fine-grained sentimental polarity, which can be refined to determine the attitude in response to an object revealed in a social user’s textual description. The E2E-ABSA problem includes two sub-tas...

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Bibliographic Details
Main Authors: Hengbing Ding, Shan Huang, Weiqiang Jin, Yuan Shan, Hang Yu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Electronics
Subjects:
machine learning
natural language processing
fine-grained sentiment analysis
fine-tuning transformer BERT
multi-level cascade tagging scheme
Online Access:https://www.mdpi.com/2079-9292/11/12/1810

Internet

https://www.mdpi.com/2079-9292/11/12/1810

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