الفهرس 
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Abstract
Aspect-Based Sentiment Analysis (ABSA) accomplishes a fine-regarding analysis that define the aspect of a given document or sentence and the sentiments conveyed regarding each aspect. This level of analysis is the most detailed version that is capable of exploring the nuanced viewpoints of the reviews. The bulk of study in ABSA focuses on English with every little work available in Arabic. The Arabic Language is a rich language in terms of derivational morphology and structural form. The rich morphology leads to large vocabulary, which increases the sparsity of morphemes and words and thus boosts the number of out-of-vocabulary words, making it difficult language to process. Most previous work in Arabic has been based on regular methods of machine learning and mainly depends on a group of rare resources and tools for analyzing and processing Arabic content such as lexicons, but the lace of those resources presents another challenge.