A hybrid neural network model based on transfer learning for Arabic sentiment analysis of customer satisfaction
Duha Mohamed Adam Bakhit,
Lawrence Nderu,
Antony Ngunyi
Abstract:Sentiment analysis, a method used to classify textual content into positive, negative, or neutral sentiments, is commonly applied to data from social media platforms. Arabic, an official language of the United Nations, presents unique challenges for sentiment analysis due to its complex morphology and dialectal diversity. Compared to English, research on Arabic sentiment analysis is relatively scarce. Transfer learning, which applies the knowledge learned from one domain to another, can address the limitations… Show more
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