A Survey on Arabic Text Classification Using Deep and Machine Learning Algorithms

Text categorization refers to the process of grouping text or documents into classes categories according their content. consists three phases which are: preprocessing, feature extraction and classification. In comparison English language, just few studies have been done categorize classify Arabic language. For a variety applications, such as classification clustering, representation is difficult task because language noted for its richness, diversity, complicated morphology. This paper presents comprehensive analysis researchers in last five years based on dataset, year, algorithms accuracy they got. Deep Learning (DL) Machine (ML) models were used enhance Remarks future work concluded.