1 |
Cho, S. G., Cho, J. H., and Kim, S. B. (2015). Discovering meaningful trends in the inaugural addresses of United States Presidents Via text mining, Journal of Korean Institute of Industrial Engineers, 41, 453-460.
DOI
|
2 |
Dumais, S. (1991). Improving the retrieval of information from external sources, Behavior Research Methods, Instruments & Computers, 23, 229-236.
DOI
|
3 |
Hornik, K., Meyer, D., and Karatzoglou, A. (2006). Support vector machines in R, Journal of Statisticcal Software, 15, 1-28.
|
4 |
Jung, M.J. (2017). A study on clustering methods for proximity data in text mining (Master thesis), Pusan National University.
|
5 |
Lee, M. R. and Bae, H. K. (2002). Design of keyword extraction system using TFIDF, The Korean Society for Cognitive Science, 13, 1-11.
|
6 |
Miner, G., Elder, J., and Hill, T. (2012). Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications, Academic Press, Seoul.
|
7 |
Chen, K. and Zong, C. (2003). A new weighting algorithm for linear classifier. In Proceedings of 2003 International Conference on Natural Language Processing and Knowledge Engineering, 650-655.
|
8 |
Chen, K., Zhang, Z., Long, J., and Zhang, H. (2016). Turning from TF-IDF to TF-IGM for term weighting in text classification, Expert System with Applications, 66, 245-260.
DOI
|
9 |
Nakov, P., Popova, A., and Mateev, P. (2001), Weight functions impact on LSA performance. In Proceeding of the Recent Advances in Natural language processing, Bulgaria, 187-193.
|
10 |
Ren, F. and Sohrab, M. G. (2013). Class-indexing-based term weighting for automatic text classification, Information Sciences, 236, 109-125.
DOI
|
11 |
Satopaa, V., Albrecht, J., Irwin, D., and Raghavan, B. (2011). Finding a "kneedle" in a Haystack: Detecting Knee Points in System Behavior, Distributed Computing Systems Workshops (ICDCSW) 2011 31st International Conference on, IEEE, 166-171.
|
12 |
Yang, Y. and Liu, X. (1999). A re-examination of text categorization methods. In Proceedings of the ACM SIGIR Conference on Research and Development in International Retrieval, 42-49.
|