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Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data

, , и . Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, стр. 6246--6254. ijcai.org, (2023)
DOI: 10.24963/IJCAI.2023/693

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Virendra Govind Upadhyaya

Jyoti Upadhyaya Devkota

 

Другие публикации лиц с тем же именем

How Learnweb Can Support Science Education Research on Climate Change in Social Media., , , , , , и . MIS4TEL, том 580 из Lecture Notes in Networks and Systems, стр. 149-154. Springer, (2022)Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data., , и . IJCAI, стр. 6246-6254. ijcai.org, (2023)Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter., , , и . NAACL-HLT, стр. 5727-5737. Association for Computational Linguistics, (2021)Toxicity, Morality, and Speech Act Guided Stance Detection., , и . EMNLP (Findings), стр. 4464-4478. Association for Computational Linguistics, (2023)Using ChatGPT to Enhance Students' Behavior in Social Media via the Moral Foundation Theory (short paper)., , , и . AIxEDU@AI*IA, том 3605 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets, , и . CoRR, (2022)EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters., , , , и . CIKM, стр. 1245-1254. ACM, (2020)A Multi-Task Model for Sentiment Aided Stance Detection of Climate Change Tweets., , и . ICWSM, стр. 854-865. AAAI Press, (2023)