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Enhancing Arabic Sentiment Analysis by aishaalimoustafa20221 is a document available to read on EtoBox.

What is Enhancing Arabic Sentiment Analysis about?

The document discusses a novel approach to Arabic Sentiment Analysis (ASA) using nine supervised machine learning algorithms to enhance the accuracy of sentiment classification for hotel reviews. A dataset of 6318 reviews was constructed, and the study highlights the challenges of analyzing Arabic text due to its complex morphology. The research aims to improve the understanding of public opinion and assist companies in refining their marketing strategies based on sentiment insights.

Author

aishaalimoustafa20221

Language

EN