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NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner.

, , and . LT-EDI@EACL, page 168-174. Association for Computational Linguistics, (2021)

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Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection., , , and . EACL (Student Research Workshop), page 162-174. Association for Computational Linguistics, (2024)TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network., , and . CoRR, (2020)Deciphering Hate: Identifying Hateful Memes and Their Targets., , , and . ACL (1), page 8347-8359. Association for Computational Linguistics, (2024)A Multimodal Framework to Detect Target Aware Aggression in Memes., , , , , and . EACL (1), page 2487-2500. Association for Computational Linguistics, (2024)SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews., , , and . HIS, volume 1375 of Advances in Intelligent Systems and Computing, page 193-203. Springer, (2020)MemoSen: A Multimodal Dataset for Sentiment Analysis of Memes., , and . LREC, page 1542-1554. European Language Resources Association, (2022)Identification of Multilingual Offense and Troll from Social Media Memes Using Weighted Ensemble of Multimodal Features., , , , , and . J. King Saud Univ. Comput. Inf. Sci., 34 (9): 6605-6623 (2022)Multi-class Short Text Classification Using Ensemble of Deep Learning Classifier., , , and . ICO, page 478-488. (2022)An Inter-modal Attention Framework for Multimodal Offense Detection., , and . ICO, page 853-862. (2022)MUTE: A Multimodal Dataset for Detecting Hateful Memes., , and . AACL/IJCNLP 2022 (Student Research Workshop), page 32-39. Association for Computational Linguistics, (2022)