Perceptible sentiment analysis of students' WhatsApp group chats in valence, arousal, and dominance space
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-022-01016-1.pdf
Reference65 articles.
1. Araújo M, Pereira A, Benevenuto F (2020) A comparative study of machine translation for multilingual sentence-level sentiment analysis. Inf Sci 512:1078–1102
2. Araujo M, Reis J, Pereira A, Benevenuto F (2016) An evaluation of machine translation for multilingual sentence-level sentiment analysis. In: Proceedings of the 31st annual ACM symposium on applied computing, pp 1140–1145
3. Behdenna S, Barigou F, Belalem G (2018) Document level sentiment analysis: a survey. EAI Endorsed Trans Context-Aware Syst Appl 4(13):e2–e2
4. Bhatia P, Ji Y, Eisenstein J (2015) Better document-level sentiment analysis from RST discourse parsing. In: Proceedings of the 2015 conference on empirical methods in natural language processing, pp 2212–2218
5. Buechel S, Hahn U (2017). EmoBank: studying the impact of annotation perspective and representation format on dimensional emotion analysis. In: Proceedings of the 15th conference of the European chapter of the Association for Computational Linguistics: volume 2, short papers, pp 578–585
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