There is a significant gap between Modern Standard Arabic (MSA) used in formal writing and various spoken Arabic dialects (AD), requiring specialized models for each, especially since colloquial dialects are often used in social media datasets. Techniques for Arabic Topic Identification
Support Vector Machines (SVM) have proven superior for Arabic topic classification compared to others. Arabic.doi
Arabic discourse frequently employs specific linguistic markers, such as the frequent use of the "Wa" (and) connector, which impacts how information is structured in large text chunks. To help you further, are you focusing on: There is a significant gap between Modern Standard
applications (e.g., software tools, news classification)? Dialectal or Modern Standard Arabic? Let me know which direction you are interested in. (PDF) Arabic Topic Identification: A Decade Scoping Review requiring specialized models for each