Social media [1] is a huge source of information; it is increasingly being used by governments, companies, and marketers to understand how the crowd thinks. Sentiment analysis is a research field that analyzes people's opinions, sentiments, evaluations, appraisals, attitudes, and emotions towards entities such as products, services, organizations, individuals, issues, events, topics, and their attributes Arabic Sentiment Ontology (ASO) that contains different words that express feelings and how strongly these words express these feelings. In this paper We proposed a new lexicon-based model for Arabic sentiment analysis with support of Vader Module, the accuracy of the model was 86.6%.
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