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Fighting an Infodemic: COVID-19 Fake News Dataset., , , , , , , , и . CoRR, (2020)Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality., , , , и . NAACL-HLT, стр. 572-582. Association for Computational Linguistics, (2018)Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization., , , , и . KDD, стр. 3524-3534. ACM, (2022)A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework., , , , , , и . ICWSM, стр. 640-650. AAAI Press, (2022)Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis., , , и . Knowl. Based Syst., (2017)A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis., , и . ACM Trans. Knowl. Discov. Data, 14 (3): 32:1-32:27 (2020)IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis., , , , и . SemEval@ACL, стр. 899-903. Association for Computational Linguistics, (2017)IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation., , , , и . SemEval@ACL, стр. 497-501. Association for Computational Linguistics, (2017)IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text., , , , , и . SemEval@ACL, стр. 894-898. Association for Computational Linguistics, (2017)Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans., , и . FIRE (Working Notes), том 3681 из CEUR Workshop Proceedings, стр. 147-158. CEUR-WS.org, (2023)