Title: An Approach to Extract Sentimental Messages from Twitter and its Application to Categorization of Human Group - Trial Visualization of Relation between Sentimental Tweeting and Behaviour of School Days -

Year of Publication: Jul - 2015
Page Numbers: 68-74
Authors: Masakazu Kyokane, Yoshiro Imai
Conference Name: The Fourth International Conference on Informatics & Applications (ICIA2015)
- Japan


Recent years have found that social media analysis can bring several kinds of effective results to us in the domains of industries, education, social science, economics, and so on. Such approaches, sometimes called sentiment analysis and/or opinion mining, are potentially applicable from trend analysis of industrial products or many services to visualization of human thinking, behaviour and/or emotion. This study focuses on Twitter used by students of universities, analyzes tweeting data(messages) by students from Twitter, and calculates sentimental values from the according data. It also investigates existence of some relations between calculated sentimental values and practical thought of students. At the same time, it tries to discuss whether the above procedure and analysis can visualize conventionally hidden relationship between contents of tweeting messages and characteristic behaviour of students in categorized universities. One of the aims of this research is to help young persons to choose their suitable universities and to provide some useful example for extraction of sentimental values from categorized groups.