1 |
An, Jungkook, Kim, HeeWoong(2015), Building a Korean Sentiment Lexicon Using Collective Intelligence, Journal of Intelligence and Information Systems, 21(2), 49-67.
DOI
|
2 |
Bollen, J., A. Pepe, and H. Mao(2009), "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena," arXiv preprintarXiv: 0911.1583.
|
3 |
Cha, EunJeong, Hong, TaeHo(2016), Stock Index Prediction Using SVM and News Sentimental Analysis, Proceedings of the Korean Society of Management Information Systems Conference, 2016(6).
|
4 |
Cho, S. Y., Kim, H. K., Kim, B. and Kim, H. W.(2014), "Predicting Movie Revenue by Online Review Mining: Using the Opening Week Online Review," Information Systems Review, 16(3), 111-132.
|
5 |
Choi Sukjae, Lee Jaewoong, Kwon Ohbyung(2015), A Morphological Analysis Method of Predicting Place-Event Performance by Online News Titles, The Jounal of Society for e-Business Studies, 21(1), 15-32.
|
6 |
Jang, J.-Y.(2009), "A Sentiment Analysis Algorithm for Automatic Product Reviews Classification in On-Line Shopping Mall," The Journal of Society for e-Business Studies, 14(4), 19-33.
|
7 |
Jin W., H. H. Ho and R. K. Srihari(2009),, OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction, KDD Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining 1195-1204.
|
8 |
Jo H. J., Seo, J. H., and Choi, J. T.(2015), OAR Algorithm Technology Based on Opinion Mining Utilizing Stock News Contents, Journal of Korean Institute of Information Technology, 13(2), 111-119.
|
9 |
Khan, F. H., S. Bashir, and U. Qamar(2014), "TOM:Twitter opinion mining framework using hybrid classification scheme," Decision Support Systems, 57, 245-257.
DOI
|
10 |
Jwa, BoKyung, Paek, HyeJin, Seol, Pil Kyo(2014), A Content Analysis of Online News and Comments about Anti-smoking Policy, Journal of Public Relations, 18(3).
|
11 |
Kim J. H., Oh, Y. J. and Chae, S. H.(2015), The Construction of a Domain-Specific Sentiment Dictionary Using Graph-based Semisupervised Learning Method, Korean Journal of the Science of Emotion and Sensibility, 18(4), 97-104.
|
12 |
Kim, Jungho, Chae, Soohoan(2014), Automatic Construction of Korean Polarity Dictionary using Graph-based Semi-supervised Learning, Proceedings of the Korean Society for Internet Information Conference, 2014(5).
|
13 |
Pang, B., and L. Lee(2008), Opinion mining and sentiment analysis, Foundations and trends in information retrieval, 2(1-2), 1-135.
DOI
|
14 |
Kim, Yoosin, Kim, Namgyu, Jeong, SeongRyoul(2012), Stock-Index Invest Model Using News Big Data Opinion Mining, Journal of Intelligence and Information Systems, 18(2).
|
15 |
Lee, SangHoon, Choi, Jung, Kim, JongWoo(2016), Sentiment analysis on movie review through building modified sentiment dictionary, Journal of Intelligence and Information Systems 22(2), 97-113.
DOI
|
16 |
Moon, Kwangsu, Kim, Seul, Oah, Shezeen(2013). An Effect of the Valence of Best Reply on the Conformity of General Reply, Journal of the Korea Contents Association, 13(12), 201-211.
DOI
|
17 |
Turney P. D. and M.L. Littman(2002), Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus, National Research Council, Institute for Information Technology, Technical Report, ERB-1094.
|
18 |
Park, SungGeon, Won, GyuSik, Lee, SooWon(2015), Web News Comment-based Sentiment Analysis of the South Korean National Team Members in the 2014 Brazil World Cup, Korean Journal of Sport Management, 20(2).
|
19 |
Song S. I., Lee, D. J. and Lee, S. G.(2010), Identifying Sentiment Polarity of Korean Vocabulary Using PMI, Proceedings of the Korean Information Science Society Conference, 37(1), 260-265.
|
20 |
Sung, JunMo(2015), A study on the convergence of SNS and storytelling emotional marketing, Master's dissertation, Graduate school in Hanyang University.
|
21 |
Yu E. J., Kim, Y. S., Kim, N. Y. and Jeong, S. R.(2013), Predicting the Direction of the Stock Index by Using a Domain-Specific Sentiment Dictionary, Journal of Intelligent Information Systems, 19(1), 95-10.
DOI
|