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Deep Learning Models for Sentiment Analysis in Arabic.

, , , , , and . ANLP@ACL, page 9-17. Association for Computational Linguistics, (2015)

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Data Ambiguity Profiling for the Generation of Training Examples., , , and . ICDE, page 450-463. IEEE, (2023)A Survey of Opinion Mining in Arabic: A Comprehensive System Perspective Covering Challenges and Advances in Tools, Resources, Models, Applications, and Visualizations., , , , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 18 (3): 27:1-27:52 (2019)Ambiguity Detection and Textual Claims Generation from Relational Data., , , , and . SEBD, volume 3194 of CEUR Workshop Proceedings, page 333-340. CEUR-WS.org, (2022)A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets., , , , , , , and . ANLP@ACL, page 18-25. Association for Computational Linguistics, (2015)EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet., , , and . *SEM@NAACL-HLT, page 86-93. Association for Computational Linguistics, (2018)Transformers for Tabular Data Representation: A Tutorial on Models and Applications., and . Proc. VLDB Endow., 15 (12): 3746-3749 (2022)A hybrid approach with collaborative filtering for recommender systems., , , and . IWCMC, page 349-354. IEEE, (2013)EMA at SemEval-2018 Task 1: Emotion Mining for Arabic., , , , , , and . SemEval@NAACL-HLT, page 236-244. Association for Computational Linguistics, (2018)Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data., , , , and . SIGMOD Conference, page 2409-2412. ACM, (2022)Recommender Systems Using Harmonic Analysis., , , , and . ICDM Workshops, page 1004-1011. IEEE Computer Society, (2014)