Opinion Mining Analyses by Online Media on the Introduction of Big Data-Based Free Semester System

摘要

This study collected informal data of news, blogs, twitter, social media and communities corresponding to online media and conducted Opinion Mining analysis on the free semester system currently implemented in South Korea. Past large volume big data from the time of the introduction of the free semester system to now were collected and preprocessed, the reputations of clients were analyzed through data classification, filtering and the construction of the emotion dictionary in Korean grammar and opinion mining analysis and utilization techniques in future field of education and a methodology to improve the accuracy of the emotional dictionary were presented. In addition, through the analysis in this study, the direction of development of the free semester system was searched and a solution that can be used as a measure of improvement point was derived.