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A Survey of Opinion Mining in Arabic: A Comprehensive System Perspective Covering Challenges and Advances in Tools, Resources, Models, Applications, and Visualizations.

, , , , , , , и . ACM Trans. Asian Low Resour. Lang. Inf. Process., 18 (3): 27:1-27:52 (2019)

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Другие публикации лиц с тем же именем

Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection., , , , , , и . SemEval@NAACL-HLT, стр. 1041-1046. Association for Computational Linguistics, (2019)SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums., , , , , и . SemEval@NAACL-HLT, стр. 860-869. Association for Computational Linguistics, (2019)Tanbih: Get To Know What You Are Reading., , , , , , , , , и 3 other автор(ы). EMNLP/IJCNLP (3), стр. 223-228. Association for Computational Linguistics, (2019)A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models., , , , , , , , и . WANLP@EACL, стр. 110-118. Association for Computational Linguistics, (2017)Deep Learning Models for Sentiment Analysis in Arabic., , , , , и . ANLP@ACL, стр. 9-17. Association for Computational Linguistics, (2015)What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context., , , , , , , и . ACL, стр. 3364-3374. Association for Computational Linguistics, (2020)AROMA: A Recursive Deep Learning Model for Opinion Mining in Arabic as a Low Resource Language., , , , , и . ACM Trans. Asian Low Resour. Lang. Inf. Process., 16 (4): 25:1-25:20 (2017)OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model., , , , , , , , , и 1 other автор(ы). SemEval@ACL, стр. 603-610. Association for Computational Linguistics, (2017)A Meta-Framework for Modeling the Human Reading Process in Sentiment Analysis., , , , , и . ACM Trans. Inf. Syst., 35 (1): 7:1-7:21 (2016)A Survey of Opinion Mining in Arabic: A Comprehensive System Perspective Covering Challenges and Advances in Tools, Resources, Models, Applications, and Visualizations., , , , , , , и . ACM Trans. Asian Low Resour. Lang. Inf. Process., 18 (3): 27:1-27:52 (2019)