TraceNet: Tracing and locating the key elements in sentiment analysis

Author:

Zhao QinghuaORCID,Liu Junfeng,Kang ZhongfengORCID,Zhou ZenghuiORCID

Funder

National Natural Science Foundation of China

Beihang University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference55 articles.

1. Sentic parser: A graph-based approach to concept extraction for sentiment analysis;Cambria,2022

2. Transfer capsule network for aspect level sentiment classification;Chen,2019

3. Bridging towers of multi-task learning with a gating mechanism for aspect-based sentiment analysis and sequential metaphor identification;Mao,2021

4. Deep learning for sentiment analysis: A survey;Zhang;Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.,2018

5. Sentiment lexical strength enhanced self-supervised attention learning for sentiment analysis;Wang;Knowl.-Based Syst.,2022

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