A Proposal of a Keyword Extraction System for Detecting Social Issues |
Jeong, Dami
(Graduate School of Convergence Science and Technology, Seoul National University)
Kim, Jaeseok (Graduate School of Convergence Science and Technology, Seoul National University) Kim, Gi-Nam (Department of Digital Media, Ajou University) Heo, Jong-Uk (Department of Web Science, Korea Advanced Institute of Science and Technology) On, Byung-Won (Advanced Institutes of Convergence Technology, Seoul National University) Kang, Mijung (Advanced Institutes of Convergence Technology, Seoul National University) |
1 | Sun, B., P. Mitra, H. Zha, C. Giles, and J. Yen, "Topic Segmentation with Shared Topic Detection and Alignment of Multiple Documents," Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, (2007), 199-206. |
2 | Wagner, C., Topic Models, DIGITAL-Institute of Information and Communication Technologies. Available at http://www.slideshare.net/clauwa/topic-models-5274169(Accessed 13 September, 2013). |
3 | Fei-Fie, L. and P. Perona, "A Bayesian hierarchical model for learning natural scene categories," IEEE Computer Vision and Pattern Recognition, Vol.2(2005), 524-531. |
4 | Fulton, S. and J. Fulton, HTML5 Canvas, O'Reilly Media, Inc., The first edition, 2012. |
5 | JGibbLDA-A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference. Available at http://jgibblda.sourceforge.net (Accessed 13 September, 2013). |
6 | Kang, S., Korean Lexical Analysis. Available at http://nlp.kookmin.ac.kr/HAM/kor/ham-intr.html(Accessed 13 September, 2013). |
7 | Kam, M. and M. Song, "A Study on Differences of Contents and Tones of Arguments among Newspapers using Text Mining Analysis," Journal of Intelligence and Information Systems, Vol.18, No.3(2012), 53-77. 과학기술학회마을 |
8 | Liu, B., Sentiment Analysis and Opinion Mining (Synthesis Lectures on Human Language Technologies), Morgan and Claypool Publishers, 2012. |
9 | Korean Integrated News Database Systems(KINDS). Available at http://www.kinds.or.kr(Accessed 13 September, 2013). |
10 | Lee, C., J. Hur, H. Oh, H. J Kim, P. Ryu, and H. K. Kim, "Technology Trends of Issue Detection and Predictive Analysis on Social Big Data," Electronics and Telecommunications Research Institute, Vol.28, No.1(2013), 62-71. |
11 | Misra, H., F. Yvon, J. Jose, and O. Cappe, "Text Segmentation via Topic Modeling : An Analytical Study," Proceedings of International Conference on Information and Knowledge Management(CIKM), (2009), 1553-1556. |
12 | Recorded Future, Web Intelligence for Business Decisions. Available at https://www.recordedfuture.com (Accessed 13 September, 2013). |
13 | Rosen-Zvi, M., T. Griffiths, M. Steyvers, and P. Smith., "The author-topic model for authors and documents," Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, (2004), 487-494. |
14 | Blei, D., "Probabilistic Topic Models," Communications of the ACM, Vol.55, No.4(2012), 77-84. DOI |
15 | Aggarwal, C. and C. Zhai, Mining Text Data, Springer, 2012. |
16 | Blei, D., A. Ng, M. Jordan, and J. Lafferty, "Latent Dirichlet Allocations," Journal of Machine Learning Research, Vol.3, No.4-5(2003), 993-1022. |
17 | Blei, D. and J. Lafferty, "Dynamic topic models," International Conference on Machine Learning, (2006), 113-120. |
18 | Dalvi, N., R. Kumar, B. Pang, and A. Tomkins, "Matching Reviews to Objects using a Language Model," Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP), (2009), 609- 618. |