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The fields of machine learning and Web technologies have witnessed significant development in the last years. This caused a ceaseless and rapid growth in sharing of the views and experience regarding services or products over the Internet in different domains. Therefore, a torrential flow of online data is available for analytical studies. Sentiment Analysis (SA) is a subtask of Natural Language Processing (NLP) that aims to analyze huge data for detecting people opinions and emotions. This field has gained growing interest by public and private sectors that led to the occurrence of many challenges, especially that related to the Arabic language. The purpose of this study is to conduct a systematic review from year 2000 until June, 2020 to analyze the status of deep Learning for Arabic NLP (ANLP) task in Arabic Subjective Sentiment Analysis (ASSA) to highlight the challenges and propose research opportunities in …