Understanding pending issue of society and sentiment analysis using social media

The recent social media use of the masses in the development of information technology and the popularization of smartphones continues to rapidly increase. In particular, to understand pending issue of society, there is a tendency for local anonymous entities to increase the use of social media to gather information. In this study, the pending issue of society was examined by analyzing the non-structured data of the `Sejong City dot-com' in the social media of Sejong City. And with the help of the Naive Bayes in Machine Learning Algorithm, we attempted to derive the results of the Sentiment Analysis of each pending issue of society.