Study of emotions and thoughts of the society and the effect of various events on them by social media

Nowadays, social media is the best place to argument topical issues of the societies. From simple events to the most complicated problems, thousands and thousand contextual contentsshare among social media. These data show the proportion of social satisfaction about discussed topics. In this research, by considering data which were produced by Twitter userand weighting them by fuzzy methods, these data compared and satisfaction level of people related to specific subjects was calculated.For this purpose, reference databases were built byweb clawlers to extract data from sport, economic and social websites.

Keywords:

Data Mining , Text Mining , Social Media , System Fuzzy , Clasification