Univrsity Of Tehran Press Journal of Information Technology Management 2980-7972 7 2 2015 06 22 Opinion Mining in Persian Language ارائۀ روش نظارتی برای نظرکاوی در زبان فارسی با استفاده از لغت‌نامه و الگوریتم SVM 345 362 53995 10.22059/jitm.2015.53995 EN Saeedeh Alimardani MSc. student in Information Technology, Faculty of Industrial Engineering, K.N.Toosi University of Technology, Iran Abdollah Aghaie Prof., Faculty of Industrial Engineering, K.N.Toosi University of Technology, Iran Journal Article 2014 06 11 Rapid growth of networks and social networks results in more access to people’s opinion. These opinions contain useful information. By analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. Opinion mining is the process of analyzing people’s emotions, feelings and opinions to identify their preferences. In this article, a method for opinion mining in Persian language is introduced that is a combination of SVM and lexicon as a set of features. The lexicon is created by using SentiWordNet. To assess the algorithm, data of hotel domain is collected. Four cases were defined and among those cases, the case in which frequency of word multiplies with its orientation got the best result. The proposed method performs better compared to other methods in Persian opinion mining. Lexicon Opinion mining orientation Support vector Machine https://jitm.ut.ac.ir/article_53995_583ee6c5ce356beab8c9fa9d8e2e40e5.pdf