Title: A STUDY OF VISUALIZATION FOR HIDDEN RELATION BETWEEN PUBLISHED DOCUMENTS AND MESSAGE FROM TWITTER BY MEANS OF SENTIMENTAL ANALYSIS APPROACH

Issue Number: Vol. 2, No. 1
Year of Publication: Jan - 2016
Page Numbers: 9-16
Authors: Masakazu Kyokane, Kazuaki Ando, Yoshiro Imai
Journal Name: The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P001908

Abstract:


Recent years have found that information processing for social media 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 for industrial products and useful business services to embossment of human thinking, behaviour and/or emotion. This time our study focuses on Twitter used by students of some Japanese universities, acquires their tweeting data (messages on Twitter), analyzes sentimental values from the according data, and performs visualizing demonstration. It also investigates existence of some relations between calculated sentimental values and location attributes of students’ universities. 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 characteristics of universities categorization. One of the aims of this study is to help young persons to choose their suitable universities based on relationship visualized in the suitable manners and to provide some useful examples for extraction of sentimental values from categorized groups