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 g...

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Published in2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN) pp. 981 - 986
Main Authors Jang, Jong-Seon, Lee, Byoung-In, Choi, Chi-Hwan, Kim, Jin-Hyuk, Seo, Dong-Myung, Cho, Wan-Sup
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Algorithms
Analytical models
Conferences
Data mining
Digital media
Information technology
Media
Naïve Bayesian
Networks
Sejong Metropolitan Autonomous City (Sejong City)
Sentiment analysis
Smartphones
Social networks
Sparse matrices
Temperature distribution
Text Mining
Training
Urban areas
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Summary: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.
Bibliography:ObjectType-Article-2
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SourceType-Conference Papers & Proceedings-2
ISSN:2165-8536
DOI:10.1109/ICUFN.2016.7536944