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OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model.

, , , , , , , , , , and . SemEval@ACL, page 603-610. Association for Computational Linguistics, (2017)

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grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs., , and . CoRR, (2020)DroTrack: High-speed Drone-based Object Tracking Under Uncertainty., , and . FUZZ-IEEE, page 1-8. IEEE, (2020)Empathy and Persona of English vs. Arabic Chatbots: A Survey and Future Directions., , and . TSD, volume 13502 of Lecture Notes in Computer Science, page 525-537. Springer, (2022)ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion Modeling., , and . LREC/COLING, page 1588-1601. ELRA and ICCL, (2024)MMIS: Multimodal Dataset for Interior Scene Visual Generation and Recognition., , , , and . CoRR, (2024)Marine predators algorithm for parameters estimation of photovoltaic modules considering various weather conditions., , , and . Neural Comput. Appl., 33 (18): 11799-11819 (2021)Arabic Bank Cheque Words Recognition Using Gabor Features., , , and . ASAR, page 84-89. IEEE, (2018)OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model., , , , , , , , , and 1 other author(s). SemEval@ACL, page 603-610. Association for Computational Linguistics, (2017)RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation., , and . CoRR, (2024)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)