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SemEval-2017 Task 4: Sentiment Analysis in Twitter

, , and . (2019)cite arxiv:1912.00741Comment: sentiment analysis, Twitter, classification, quantification, ranking, English, Arabic.

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In Search of Credible News., , and . AIMSA, volume 9883 of Lecture Notes in Computer Science, page 172-180. Springer, (2016)Noun Compound Interpretation Using Paraphrasing Verbs: Feasibility Study.. AIMSA, volume 5253 of Lecture Notes in Computer Science, page 103-117. Springer, (2008)Web Personalization Using Extended Boolean Operations with Latent Semantic Indexing.. AIMSA, volume 1904 of Lecture Notes in Computer Science, page 189-198. Springer, (2000)TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification, , and . (2022)cite arxiv:2205.04404Comment: Accepted at DravidianLangTech-ACL2022 (Colocated with ACL-2022). disinformation, misinformation, factuality, harmfulness, fake news, propaganda, multimodality, text, images, videos, network structure, temporality.Multimodal Large Language Models to Support Real-World Fact-Checking., , , and . CoRR, (2024)The dark side of news community forums: opinion manipulation trolls., , , , , and . Internet Res., 28 (5): 1292-1312 (2018)Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications., , , , , and . CoRR, (2023)Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training., , , and . AAAI, page 10729-10737. AAAI Press, (2022)Using Discourse Structure Improves Machine Translation Evaluation., , , and . ACL (1), page 687-698. The Association for Computer Linguistics, (2014)Thread-Level Information for Comment Classification in Community Question Answering., , , , , , and . ACL (2), page 687-693. The Association for Computer Linguistics, (2015)