Exploiting contextual target attributes for target sentiment classification

Exploiting contextual target attributes for target sentiment classification

In the past few years, pre-trained language models (PTLMs) have brought significant improvements to target sentiment classification (TSC). Existing PTLM-based models can be categorized into two groups: 1) fine-tuning-based models that adopt PTLM as the context encoder; 2) prompting-based models that...

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Bibliographic Details
Main Authors: Xing, Bowen, Tsang, Ivor Wai-Hung
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Classification tasks
Sentiment classification
Online Access:https://hdl.handle.net/10356/179897

Internet

https://hdl.handle.net/10356/179897

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