참고문헌
- Aggarwal, C.C. and C. Zhai, "A Survey of Text Clustering Algorithms", Mining Text Data, Springer, US, 2012, 77-128.
- Agrawal, R. and M. Batra, "A Detailed Study on Text Mining Techniques", International Journal of Soft Computing and Engineering, Vol.2, 2013, 2231-2307.
- Aizawa, A., "An Information-Theoretic Perspective of TF-IDF Measures", Information Processing and Management, Vol.39, No.1, 2003, 45-65. https://doi.org/10.1016/S0306-4573(02)00021-3
- Albright, R., "Taming Text with the SVD", SAS Institute Inc., 2004.
- Bae, J., J. Shon, and M. Song, "Analysis of Twitter for 2012 South Korea Presidential Election by Text Mining Techniques", Journal of Information Technology Applications and Management, Vol.19, Vol.3, 2013, 141-156. (배정환, 손지은, 송 민, "텍스트 마이닝을 이용한 2012년 한국대선 관련 트위터 분석", 지능정보연구, 제19권, 제3호, 2013, 141-156.)
- Barbakh, W.A., Y. Wu, and C. Fyfe, Non-Standard Parameter Adaption for Exploratory Data Analysis, Springer, Berlin Heidelberg, 2009, 1-6.
- Blei, D.M., A.Y. Ng, and M.I. Jordan, "Latent Dirichlet Allocation", Journal of Machine Learning Research, Vol.3, 2003, Chicago, 993-1022.
- Cai, D., X. He, and J. Han, "Locally Consistent Concept Factorization for Document Clustering", IEEE Transactions on Knowledge and Data Engineering, Vol.23, No.6, 2011, 902-913. https://doi.org/10.1109/TKDE.2010.165
- Carnerud, D., "Exploration of Text Mining Methodology through Investigation of QMODICQSS Proceedings", in QMOD-ICQSS Prague, Czech Republic, Sep, 3-5, 2014.
- Fan, W., W. Wallace, S. Rich, and Z. Zhang, "Tapping the Power of Text Mining", Communications of the ACM, Vol.49, No.9, 2006, 76-82.
- Feldman, R. and J. Sanger, The Text Mining Handbook : Advanced Approaches in Analyzing Unstructured Data, Cambridge University Press, 2007.
- Griffiths, T.L. and M. Steyvers, "Finding Scientific Topics", Proceedings of the National Academy of Sciences, 2004, 5228-5235.
- Han, J., M. Kamber, and J. Pei, Data Mining : Concepts and Techniques, 3rd Edition, Morgan Kaufmann Publishers, 2011.
- Hearst, M.A., "Untangling Text Data Mining", Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics, 1999, 3-10.
- Hofmann, T., "Unsupervised Learning by Probabilistic Latent Semantic Analysis", Machine Learning, Vol.42, No.1-2, 2001, 177-196. https://doi.org/10.1023/A:1007617005950
- Holton, C., "Identifying Disgruntled Employee Systems Fraud Risk through Text Mining : A Simple Solution for a Multi-Billion Dollar Problem", Decision Support Systems, Vol.46, No.4, 2009, 853-864. https://doi.org/10.1016/j.dss.2008.11.013
- Hong, D.S. and H.G. Kim, "From Big Data to Business Value : Emerging Technology Extraction and Analysis System Based on Korean Newspapers", Journal of the Korea Entertainment Industry Association, Vol.8, No.4, 2014, 285-292. https://doi.org/10.21184/jkeia.2014.12.8.4.285
- Hyun, Y.J, H.J. Han, H.S. Choi, J.Y. Park, K.H. Lee, K.Y. Kwahk, and N.G. Kim, "Methodology using Text Analysis for Packaging R&D Information Services on Pending National Issues", Journal of Information Technology Applications and Management, Vol.20, 2013, 231-257. (현윤진, 한희준, 최희석, 박준형, 이규하, 곽기영, 김남규, "텍스트 분석을 활용한 국가 현안 대응 R&D 정보 패키징 방법론", 한국정보기술응용학회, 제20권, 제3호, 2013, 231-257.)
- Jain, A.K., M.N. Murty, and P.J. Flynn, "Data Clustering : A Review", ACM Computing Surveys, Vol.31, No.3, 1999, 264-323. https://doi.org/10.1145/331499.331504
- Kim, I., "The Value of Big Data and Strategy", 2012 Big Data Search Analysis Technology Insight, 2012.
- Kim, J.E., N.G. Kim, and Y.H. Cho, "User-Perspective Issue Clustering Using Multi-layered Two-Mode Network Analysis", Journal of Interlligence and Information Systems, Vol. 20, No.2, 2014, 93-107. (김지은, 김남규, 조윤호, "다계층 이원 네트워크를 활용한 사용자 관점의 이슈 클러스터링", 지능정보연구, Vol.20, 2014, 93-107.)
- Liebowitz, J., Business Analytics : An Introduction, CRC Press, 2013.
- Liu, B., Sentiment Analysis and Opinion Mining, Morgan and Claypool Publishers, 2012.
- Lu, Y., Q. Mei, and C. Zhai, "Investigating Task Performance of Probabilistic Topic Models : An Empirical Study of PLSA and LDA", Information Retrieval, Vol.14, No.2, 2011, 178-203. https://doi.org/10.1007/s10791-010-9141-9
- Macnamara, J.R., "Media Content Analysis : Its Uses, Benefits and Best Practice Methodology", Asia Pacific Public Relations Journal, Vol.6, No.1, 2003, 1-34.
- Meyer, D., K. Hornik, and I. Feinerer, "Text Mining Infrastructure in R", Journal of Statistical Software, Vol.25, No.5, 2008, 1-54.
- Mooney, R.J. and R. Bunescu, "Mining Knowledge from Text using Information Extraction", ACM SIGKDD Exploration, Vol.7, No.1, 2005, 3-10.
- Myung, J.S., D.J. Lee, and S.G. Lee, "A Korean Product Review Analysis System using A Semi-Automatically Constructed Semantic Dictionary", Journal of KIISE : Software and Applications, Vol.35, No.6, 2008, 347-405. (명재석, 이동주, 이상구, "반자동으로 구축된 의미 사전을 이용한 한국어 상품평 분석 시스템", 정보과학회논문지 : 스프트웨어 및 응용, 제35권, 제6호, 2008, 347-405.)
- Nagaraj, R., V. Thiagarasu, and P. Vijayakumar, "A Novel Semantic Level Text Classification by Combining NLP and Thesaurus Concepts", IOSR Journal of Computer Engineering, Vol.16, No.4, 2014, 14-26. https://doi.org/10.9790/0661-16461426
- Newman, D.J. and S. Block, "Probabilistic Topic Decomposition of an Eighteenth? Century American Newspaper", Journal of the American Society for Information Science and Technology, Vol.57, No.6, 2006, 753-767. https://doi.org/10.1002/asi.20342
- Ng, A.Y., M.I. Jordan, and Y. Weiss, "On Spectral Clustering : Analysis and an Algorithm", Advances in Neural Information Processing Systems, Vol.2, 2002, 849-856.
- Provost, F. and T. Fawcett, Data Science for Business, O'Reilly Media, 2013.
- Romero, C., S. Ventura, and E. Garcia, "Data Mining in Course Management Systems : Moodle Case Study and Tutorial", Computer and Education, Vol.51, No.1, 2008, 368-384. https://doi.org/10.1016/j.compedu.2007.05.016
- Sebastiani, F., "Classification of Text, Automatic", The Encyclopedia of Language and Linguistics, (ed.2), Vol.14, Elsevier Science Pub, 2006.
- Stanvrianou, A., P. Andritsos, and N. Nicoloyannis, "Overview and Semantic Issues of Text Mining", ACM SIGMOD Record, Vol.36, No.3, 2007, 23-24. https://doi.org/10.1145/1324185.1324190
- Sun, Y., "A Text Mining Approach to Analyze Public Media Science Coverage and Public Interest in Science", International Journal of Machine Learning and Computing, Vol.4, No.6, 2014, 496. https://doi.org/10.7763/IJMLC.2014.V6.461
- Tseng, Y.H., C.J. Lin, and Y.I. Lin, "Text Mining Techniques for Patent Analysis", Information Processing and Management, Vol.43, No.5, 2007, 1216-1247. https://doi.org/10.1016/j.ipm.2006.11.011
- Wang, M.Y., D.S. Chang, and C.H. Kao, "Identifying Technology Trends for R&D Planning using TRIZ and Text Mining", R&D Management, Vol.40, No.5, 2010, 491-509. https://doi.org/10.1111/j.1467-9310.2010.00612.x
- Wang, H. and Y. Ohsawa, "Innovation Support System for Creative Product Design Based on Chance Discovery", Expert Systems with Applications, Vol.39, No.5, 2012, 4890-4897. https://doi.org/10.1016/j.eswa.2011.10.002
- Weiss, S.M., N. Indurkhya, and T. Zhang, Fundamentals of Predictive Text Mining, Springer, London, 2012.
- Wong, W.X.S. and N. Kim, "Reorganizing Social Issues from R&D Perspective Using Social Network Analysis", Journal of Information Technology Application and Management, Vol.22, No.3, 2015, 83-103. https://doi.org/10.21219/JITAM.2015.22.3.083
- Xie, P. and E.P. Xing, "Integrating Document Clustering and Topic Modeling", arXiv preprint arXiv : 1309.6874, 2013.
- Xu, W. and Y. Gong, "Document Clustering by Concept Factorization", Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004, 202-209.
- Xu, W., X. Liu, and Y. Gong, "Document Clustering Based on Non-Negative Matrix Factorization", Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2003, 267-273.
- Yoon, J., "Detecting Weak Signals for Long-Term Business Opportunities Using Text Mining of Web News", Expert Systems with Applications, Vol.39, No.16, 2012, 12543-12550. https://doi.org/10.1016/j.eswa.2012.04.059