Sentiment Lexical Strength Enhanced Self-supervised Attention Learning for sentiment analysis-Reference-Cited by-同舟云学术

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Sentiment Lexical Strength Enhanced Self-supervised Attention Learning for sentiment analysis

Published:2022-09 Issue: Volume:252 Page:109335
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wang Xi,Fan Mengmeng,Kong Mingming^ORCID,Pei Zheng

Publisher

Elsevier BV

Subject

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

Reference37 articles.

1. A comprehensive survey on sentiment analysis: Approaches, challenges and trends;Birjali;Knowl.-Based Syst.,2021

2. SKEP: SEntiment knowledge enhanced pre-training for sentiment analysis;Tian,2020

3. Aspect-level sentiment analysis with aspect-specific context position information;Huang;Knowl.-Based Syst.,2022

4. Affective Computing and Sentiment Analysis, a Practical Guide to Sentiment Analysis;Cambria,2017

5. Tools and techniques for lexicon driven sentiment analysis: A review;Ahmad;Int. J. Multidiscip. Sci. Eng.,2017

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2. GP‐FMLNet: A feature matrix learning network enhanced by glyph and phonetic information for Chinese sentiment analysis;CAAI Transactions on Intelligence Technology;2024-03-19

3. Predicting multi-subsequent events and actors in public health emergencies: An event-based knowledge graph approach;Computers & Industrial Engineering;2024-01

4. TraceNet: Tracing and locating the key elements in sentiment analysis;Knowledge-Based Systems;2023-10

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