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...
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: | |
Online Access: | https://www.mdpi.com/2079-9292/11/12/1810 |
Similar Items
-
BERT: A Review of Applications in Sentiment Analysis
by: Md Shohel Sayeed, et al.
Published: (2023-06-01) -
HunEmBERT: A Fine-Tuned BERT-Model for Classifying Sentiment and Emotion in Political Communication
by: Istvan Uveges, et al.
Published: (2023-01-01) -
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance
by: Zhengqing Yuan, et al.
Published: (2023-04-01) -
What does Chinese BERT learn about syntactic knowledge?
by: Jianyu Zheng, et al.
Published: (2023-07-01) -
Optimizing Large Language Models on Multi-Core CPUs: A Case Study of the BERT Model
by: Lanxin Zhao, et al.
Published: (2024-03-01)