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Enhancing aspect-category sentiment analysis via syntactic data augmentation and knowledge enhancement

  • Published:2023-03 Issue: Volume:264 Page:110339
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Liu Bin,Lin TaoORCID,Li Ming

Publisher

Elsevier BV

Subject

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

Reference51 articles.

1. SemEval-2014 task 4: Aspect based sentiment analysis;Pontiki,2014

2. SemEval-2016 task 5: Aspect based sentiment analysis;Pontiki,2016

3. UWB: machine learning approach to aspect-based sentiment analysis;Brychcín,2014

4. XRCE: hybrid classification for aspect-based sentiment analysis;Brun,2014

5. NRC-Canada-2014: Detecting aspects and sentiment in customer reviews;Kiritchenko,2014

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1. Sentiment analysis methods, applications, and challenges: A systematic literature review;Journal of King Saud University - Computer and Information Sciences;2024-04

2. Emotion-cognitive reasoning integrated BERT for sentiment analysis of online public opinions on emergencies;Information Processing & Management;2024-03

3. Aspect category sentiment classification via document-level GAN and POS information;International Journal of Machine Learning and Cybernetics;2024-02-27

4. HosRev: A Comprehensive Aspect-Category Sentiment Analysis Dataset on Hospital Reviews in Vietnam;2023 1st International Conference on Health Science and Technology (ICHST);2023-12-28

5. A survey of aspect-based sentiment analysis classification with a focus on graph neural network methods;Multimedia Tools and Applications;2023-12-13
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