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NTIS 바로가기Journal of the convergence on culture technology : JCCT = 문화기술의 융합, v.6 no.1, 2020년, pp.111 - 120
하상현 ((주)비투인) , 노태협 (덕성여자대학교 경영학과)
As an application of big data and artificial intelligence techniques, this study proposes an atypical language-based sentimental opinion poll methodology, unlike conventional opinion poll methodology. An alternative method for the sentimental classification model based on existing statistical analys...
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B. Liu, Sentiment Analysis and Opinion Mining, Synthesis Lectures on Human Language Technologies, Chicago: Morgan & Claypool Publishers, 2012.
S. H. Seo, & J. T. Kim, "A Study on the Emotional Analysis Based on Deep Learning," The Journal of Multimedia Information System, vol. 20, No. 3, pp. 8-22, 2016.
Y. J. Choi, & S. H. Kwon, "A Semantic Network Analysis of the Newspaper Articles on Big Data," Journal of Cyber Communication Academic Society, vol. 31, No. 1, pp. 241-286, 2014.
S. W. Park, K. H. Han, & W. Y. Jang, "CNN Deep Learning Acceleration Algorithm for Mobile System," Journal of Korean Institute of Information Technology, vol. 16, No. 10, pp. 1-9, 2018.
H. J, Youn, J. H. Park, & S. K. Suk, "Social Network Data Mining for Products Preference Analysis," Journal of The Korea Society of Information Technology Policy & Management, vol. 8, No. 4, pp. 219-223, 2016.
S. G. Park, K. S. Won, & S. W. Lee, "Web News Comment-based Sentiment Analysis of the South Korean National Team Members in the 2014 Brazil World Cup," Korean Journal of Sports Management, vol. 20, No, 2, pp. 13-28, 2015.
D. K, Kim, J. Y. Heo, J. H. Cho, S. Y. Park, & Y. H. Kim, "Emotional Twitter Bot Based on Machine Learning," Journal of Academic Publication: Korea Information Science Society, Vol. 38, No. 2B, pp. 379-382, 2011.
J. H. Park, "Sentiment Analysis of Twitter Data by Using Support Vector Machine Learning," Master's Thesis. Yonsei University, Korea, 2015.
S. H. Yoon, "A Study on Employment Strategy Based on Employment Information Filtering," The Journal of Convergence on Culture Technology (JCCT), vol. 5, No. 4, pp. 251-258, 2019.
S. H. Ha, "Investigation of Machine Learning for Predicting the Approval Rating of Parties in the South Korea's 20th Legislative Election," Master's Thesis, Yonsei Univ, 2017.
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