2. Related worksMany works have been done in the area of ​​public opinion extraction, some works have gone to find polarity and some have found both polarity and subjectivity. Work has been done for many languages ​​and to serve many purposes such as politics, social services, movie reviews, etc., but unfortunately no work has been done for the Arabic language. Below we review some of these works: OSVision Opinion Mining [6] is an automatic system capable of extracting opinions from the Web. The system uses advanced natural language processing algorithms to extract opinions, the system is supported by machine learning approaches and knowledge representations that enabled its application. The author mentioned his system, what is the goal of this system. But he did not state what techniques were used and how these techniques worked to perform this work, there are no details, and the working method seemed ambiguous to me, so it is difficult to benefit from this article.OPTIMISM [5] an sistema opinion mining for classifying opinions on related Portuguese political actors. The work went through several phases as follows: Subscription to newsfeeds associated with political actors relevant to the collection of the data in question. Development of an ontology of political entities that contains the names of political actors, their variants (acronyms) and their roles in the political sphere. Create high precision lexico-syntactic rules. Develop a reference corpus, starting by collecting opinion-rich data from the website of one of the most popular Portuguese newspapers. The training set that expressed positive and negative opinions was manually chosen, and the residual sentences of the comment...... half of the sheet ......22-24 May 2009, pp. 270-272.[4] J.Froelich, S. Ananyan, D. Olson, Using text mining to analyze public input, Megaputer Intelligence, 2004.[5] M. Silva, P. Carvalho, L Sarmento, et al. “The Design of OPTIMISM, an Opinion Mining System for Portuguese Politics,” New Trends in Artificial Intelligence: Proceedings of EPIA 2009 - Fourteenth Portuguese Conference on Artificial Intelligence, Universidade de Aveiro, October 2009, pp. 565-576.[6] OPINION MINING: Automated opinion polls and product review surveys, OSVision.[7] Y. Almas, K. Ahmad, “A Note on Extracting 'Sentiments' in Financial News in English, Arabic and Urdu”, The Second Workshop on Computational Approaches to Arabic Script-Based Languages” LSA 2007 Linguistic Institute Stanford University, 21 July, 2007.[8] Y. Kuat, M. Saˇsa, “Sentiment Analysis of Movie Review Comments ", 2009.