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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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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)Multimodal Large Language Models to Support Real-World Fact-Checking., , , and . CoRR, (2024)Fine-Grained Sentiment Analysis for Movie Reviews in Bulgarian., and . RANLP, page 266-274. RANLP 2015 Organising Committee / ACL, (2015)Sentiment Analysis in Twitter for Macedonian., , and . RANLP, page 249-257. RANLP 2015 Organising Committee / ACL, (2015)COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing., , , , and . RANLP, page 997-1009. INCOMA Ltd., (2021)Combining Relational and Attributional Similarity for Semantic Relation Classification., and . RANLP, page 323-330. RANLP 2011 Organising Committee, (2011)Detecting Toxicity in News Articles: Application to Bulgarian., , and . RANLP, page 247-258. INCOMA Ltd., (2019)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English., , , , , , , , , and 3 other author(s). SemEval@NAACL-HLT, page 203-209. The Association for Computer Linguistics, (2015)