Social media 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 the support of the Vader Module, the accuracy of the model was 86.6%.
A.Rahim, M., Nagy, M., Sayed, M., El-Bahy, M., Lotfy, M., Salama, H., & Hussein Mohamed, E. (2019). Sentiment Analysis for colloquial Arabic Language. FCI-H Informatics Bulletin, 1(3), 7-11. doi: 10.21608/fcihib.2019.107519
A.Rahim, M., Nagy, M., Sayed, M., El-Bahy, M., Lotfy, M., Salama, H., Hussein Mohamed, E. (2019). 'Sentiment Analysis for colloquial Arabic Language', FCI-H Informatics Bulletin, 1(3), pp. 7-11. doi: 10.21608/fcihib.2019.107519
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A.Rahim, M., Nagy, M., Sayed, M., El-Bahy, M., Lotfy, M., Salama, H., Hussein Mohamed, E. Sentiment Analysis for colloquial Arabic Language. FCI-H Informatics Bulletin, 2019; 1(3): 7-11. doi: 10.21608/fcihib.2019.107519
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