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Improving Arabic Sentiment Analysis Using LSTM Based on Word Embedding Models., , and . Vietnam. J. Comput. Sci., 10 (3): 391-407 (August 2023)Arabic text diacritization: overview and solution., and . SCA, page 101:1-101:7. ACM, (2019)An Arabic Dialects Dictionary Using Word Embeddings., , , and . Int. J. Rough Sets Data Anal., 6 (3): 18-31 (2019)An Overview of Word Embedding Models Evaluation for Arabic Sentiment Analysis., , and . BDIoT, volume 489 of Lecture Notes in Networks and Systems, page 411-427. Springer, (2021)A Comparative Study of Some Automatic Arabic Text Diacritization Systems., and . Adv. Hum. Comput. Interact., (2022)A Bibliometric Study on E-Learning Software Engineering Education., , , , , , and . J. Univers. Comput. Sci., 29 (6): 510-545 (June 2023)Towards an Open Domain Arabic Question Answering System: Assessment of the Bert Approach., , and . MEDI Workshops, volume 2071 of Communications in Computer and Information Science, page 33-46. Springer, (2023)An Overview of a Distributional Word Representation for an Arabic Named Entity Recognition System., , and . SoCPaR, volume 737 of Advances in Intelligent Systems and Computing, page 130-140. Springer, (2017)