Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect

Arab customers give their comments and opinions daily, and it increases dramatically through online reviews of products or services from companies, in both Arabic, and its dialects. This text describes the user’s condition or needs for satisfaction or dissatisfaction, and this evaluation is either n...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Habeeb, Abdallah (author)
مؤلفون آخرون:	Otair, Mohammed A (author), Abualigah, Laith (author), Alsoud, Anas Ratib (author), Elminaam, Diaa Salama Abd (author), Abu Zitar, Raed (author), Ezugwu, Absalom E (author), Jia, Heming (author)
منشور في:	2022
الموضوعات:	Natural language processing Text classification Sentiment analysis Feature selection Inspired algorithms ABC UBC KNN SVM PNN Naïve Bayes
الوصول للمادة أونلاين:	https://depot.sorbonne.ae/handle/20.500.12458/1328
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect

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