{"id":12980,"date":"2025-06-04T10:21:09","date_gmt":"2025-06-04T07:21:09","guid":{"rendered":"https:\/\/uokerbala.edu.iq\/en\/?p=12980"},"modified":"2025-06-04T10:21:09","modified_gmt":"2025-06-04T07:21:09","slug":"university-of-kerbala-discussing-an-m-a-thesis-entitled-emotion-detection-in-arabic-social-media-texts-using-machine-learning-and-natural-language-processing","status":"publish","type":"post","link":"https:\/\/uokerbala.edu.iq\/en\/university-of-kerbala-discussing-an-m-a-thesis-entitled-emotion-detection-in-arabic-social-media-texts-using-machine-learning-and-natural-language-processing\/","title":{"rendered":"University of Kerbala Discussing an M.A Thesis entitled “Emotion Detection in Arabic Social Media Texts using Machine Learning and Natural Language Processing”"},"content":{"rendered":"

Being submitted by Zakaria Hussein Ali Saleh, College of Computer Science and Information Technology, University of Kerbala has discussed the M.A thesis which is entitled ” Emotion Detection in Arabic Social Media Texts using Machine Learning and Natural Language Processing.”<\/span>
\nThe study contributes to Arabic natural language processing by proposing a scalable and effective method of detecting emotions in written text.<\/span>
\nThe study recommends proposing a hybrid deep learning approach based on LSTM and Bert to improve sentiment classification in Arabic social media texts, particularly in Iraqi dialect.<\/span><\/p>\n

\"\" \"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

Being submitted by Zakaria Hussein Ali Saleh, College of Computer Science and Information Technology, University of Kerbala has discussed the M.A thesis which is entitled ” Emotion Detection in Arabic Social Media Texts using Machine Learning and Natural Language Processing.” The study contributes to Arabic natural language processing by proposing a scalable and effective method 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