References
- Kang, Beomil & Park, Ji-Hong (2013). Profiling and co-word analysis of teaching korean as a foreign language domain. Journal of the Korean Society for Information Management, 30(4), 195-213. https://doi.org/10.3743/KOSIM.2013.30.4.195
- Kim, Pan Jun (2005). A study on updating the knowledge structure using new topic detection methods. Journal of the Korean Society for Information Management, 22(1), 191-208. https://doi.org/10.3743/KOSIM.2005.22.1.191
- Kim, Pan Jun (2006). A study on the automatic descriptor assignment for scientific journal articles using rocchio algorithm. Journal of the Korean Society for Information Management, 23(3), 69-89. https://doi.org/10.3743/KOSIM.2006.23.3.069
- Kim, Pan Jun (2015a). An analytical study on research trends of reading and reading instruction in overseas: focused on library and information science. Journal of the Korean Society for Information Management, 32(3), 69-97. https://doi.org/10.3743/KOSIM.2015.32.3.069
- Kim, Pan Jun (2015b). An analytical study on research trends of digital curation: focused on library and information science. Journal of the Korean Society for Information Management, 32(1), 265-295. https://doi.org/10.3743/KOSIM.2015.32.1.265
- Kim, Pan Jun (2016). An analytical study on performance factors of automatic classification based on machine learning. Journal of the Korean Society for Information Management, 33(2), 33-59. https://doi.org/10.3743/KOSIM.2016.33.2.033
- Kim, Pan Jun (2018). An analytical study on automatic classification of domestic journal articles based on machine learning. Journal of the Korean Society for Information Management, 35(2), 37-62. https://doi.org/10.3743/KOSIM.2018.35.2.037
- Kim, Pan Jun (2021). A study on the characteristics by keyword types in the intellectual structure analysis based on co-word analysis: focusing on overseas open access field. Journal of the Korean Society for Library and Information Science, 55(3), 103-129. http://dx.doi.org/10.4275/KSLIS.2021.55.3.103
- Kim, Pan Jun & Suh, Hye-Ran (2012). A study on the analysis of intellectual structure of electronic records research in korea using profiling. Journal of Korean Society of Archives and Records Management, 12(2), 29-50. https://doi.org/10.14404/JKSARM.2012.12.2.029
- Kim, Pan Jun & Lee, Jae Yun (2007). Descriptor profiling for research domain analysis. Journal of the Korean Society for Information Management, 24(4), 285-303. https://doi.org/10.3743/KOSIM.2007.24.4.285
- Lee, Jae-Yun (2006). A study on the network generation methods for examining the intellectual structure of knowledge domains. Journal of the Korean Society for Library and Information Science, 40(2), 333-355. https://doi.org/10.4275/KSLIS.2006.40.2.333
- Lee, Jae-Yun (2012). wnet.exe (version 0.4). (Software).
- Lee, Jae-Yun & Kim, Soojung (2016). A bibliometric analysis of research trends on disaster in Korea. Journal of the Korean Society for Information Management, 33(4), 103-124. https://doi.org/10.3743/KOSIM.2016.33.4.103
- Lee, Ji-Won (2019). A study on analysis of research trends and intellectual structure of cataloging field. Journal of the Korean Society for Information Management, 36(4), 279-300. https://doi.org/10.3743/kosim.pub.36.4.279001
- Chung, Eunkyung (2019). An investigation on scientific data for data journal and data paper. Journal of the Korean Society for Information Management, 36(1), 117-135. https://doi.org/10.3743/KOSIM.2019.36.1.117
- Jeong, Uiyeon & Choi, Sanghee (2019). Analysis on topics of digital preservation researches and courses. Journal of the Korean Society for Library and Information Science, 53(3), 25-43. https://doi.org/10.4275/KSLIS.2019.53.3.025
- Heo, Youngsoo & Park, Ji-Hong (2021). Exploring the research trends of learning strategies in korean language education using co-word analysis. Journal of the Korean Society for Information Management, 38(2), 65-86. https://doi.org/10.3743/KOSIM.2021.38.2.065
- Hull, D. A. (1994). Improving text retrieval for routing problem using latent semantic indexing. In: Croft B.W., van Rijsbergen C.J. (eds) SIGIR '94. Springer, London. https://doi.org/10.1007/978-1-4471-2099-5_29
- Joachims T. (1998). Text categorization with Support Vector Machines: Learning with many relevant features. In: Nedellec C., Rouveirol C. (eds) Machine Learning: ECML-98. ECML 1998. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence), vol 1398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0026683
- Joachims, T. (1997). A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization. In D. H. Fisher (ed.), Proceedings of ICML-97, 14th International Conference on Machine Learning (pp. 143-151), Nashville, US: Morgan Kaufmann Publishers, San Francisco, US. https://www.cs.cornell.edu/people/tj/publications/joachims_97a.pdf
- Khasseh, A. A., Soheili, F., Moghaddam, H. S., & Chelak, A. M. (2017). Intellectual structure of knowledge in i-Metrics. Information Processing & Management, 53(3), 705-720. https://doi.org/10.1016/j.ipm.2017.02.001
- Schapire, R. E., Singer, Y., & Singhal, A. (1998). Boosting and rocchio applied to text filtering. In: Proceedings of the ACM SIGIR '98, 215-223. https://doi.org/10.1145/290941.290996
- Schutze, H., Hull, D. A., & Pedersen, J. O. (1995). A Comparison of classifiers and document representations for the routing problem. In: Proceedings of the ACM SIGIR '95, 229-237. https://doi.org/10.1145/215206.215365
- Yang, Y. (1999). Evaluation of statistical approaches to text categorization. Information Retrieval, 1: 69-90. ttps://doi.org/10.1023/A:1009982220290
- Zhang, J., Yu, Q., Zheng, F., Long, C., Lu, Z., & Duan, Z. (2016). Comparing keywords plus of WOS and author keywords: A case study of patient adherence research. Journal of the Association for Information Science and Technology, 67(4), 967-972. https://doi.org/10.1002/asi.23437
- Zhao, W., Mao, J., & Lu, K. L. (2018). Ranking themes on co-word networks: Exploring the relationships among different metrics. Information Processing & Management, 54(2), 203-218. https://doi.org/10.1016/j.ipm.2017.11.005