2. Related WorkMuch work has been done in the field of public opinion mining, some work aimed at finding polarity and some aimed at finding both polarity and subjectivity. Work has been done for many languages ​​and to serve many purposes such as politics, social services, film reviews… etc., but unfortunately no work has been done for the Arabic language. In the following, we go through some of these works: OSVision Opinion Mining [6] is an automatic system that can extract opinions from the Web. The system uses advanced natural language processing algorithms to extract the opinion, the system is supported by machine learning approaches and knowledge representations that made it possible to apply it. The author mentioned his system, what is the objective of this system. But he did not declare what techniques were used and how these techniques worked to achieve this work, there are no details, and the working method was ambiguous for me, so it is difficult to benefit from this article.OPTIMISM [5] an opinion mining system for the classification of opinions on the relevant Portuguese political actors. The work went through several phases as follows: Subscription to news feeds associated with relevant political actors to collect the relevant data. Development of an ontology of political entities which contains the names of political actors, their variants (acronyms) and their roles in the political scope. Create high-precision lexico-syntactic rules. Develop a reference corpus, starting with the collection of opinion-rich data from the website of one of the most popular Portuguese newspapers. Manually, the training set expressing positive and negative opinions was chosen, and the Residual sentences of the comment...... middle of paper......May 22-24, 2009, pp. 270-272.[4] J. Froelich, S. Ananyan, D. Olson, Using Text Mining to Analyze Public Comments, 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 Rating 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, Linguistics Institute of Stanford University, July 21. 2007.[8] Y. Kuat, M. Saˇsa, “Sentiment Analysis of Movie Review Comments ", 2009.