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Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network., , , and . DSAA, page 390-399. IEEE, (2020)Detection of Hate Speech and Offensive Language CodeMix Text in Dravidian Languages Using Cost-Sensitive Learning Approach., , , and . IEEE Access, (2024)DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language., , and . CoRR, (2020)Offensive language identification in dravidian languages using MPNet and CNN., , , and . Int. J. Inf. Manag. Data Insights, 3 (1): 100151 (2023)Multimodal Hate Speech Detection from Bengali Memes and Texts., , , and . CoRR, (2022)IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always hope in Transformers., , , , and . LT-EDI@EACL, page 98-106. Association for Computational Linguistics, (2021)The Best of both Worlds: Dual Channel Language modeling for Hope Speech Detection in low-resourced Kannada., , , , and . LT-EDI, page 127-135. Association for Computational Linguistics, (2022)Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models., , , , , , and . MTSummit (2), page 125-133. European Association for Machine Translation, (2019)Overview of the Shared Task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages., , , , , , , , , and 1 other author(s). FIRE (Working Notes), volume 3395 of CEUR Workshop Proceedings, page 80-91. CEUR-WS.org, (2022)Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text., , , , , , and . FIRE, page 21-24. ACM, (2020)