1 |
Choi, Hyung Wook, Choi, Ye Jin, & Nam, So-Yeon (2018). Time series analysis of intellectual structure and research trend changes in the field of library and information science: 2003 to 2017. Journal of the Korean Society for Information Management, 35(2), 89-114. https://doi.org/10.3743/KOSIM.2018.35.2.089
DOI
|
2 |
Jang, Namkyung & Kim, Min-Jeong (2017). Research trend analysis in fashion design studies in Korea using topic modeling. Journal of Digital Convergence, 15(6), 415-423.
DOI
|
3 |
Kim, Donghun, Oh, Chanhee, & Zhu, Yongjun (2021). Analyzing research trends in Blockchain studies in South Korea using dynamic topic modeling and network analysis. Journal of the Korean Society for Information Management, 38(3), 23-39. https://doi.org/10.3743/KOSIM.2021.38.3.023
DOI
|
4 |
Park, Ja-Hyun & Song, Min (2013). A study on the research trends in library & information science in Korea using topic modeling. Journal of the Korean Society for Information Management, 30(1), 7-32. doi:10.3743/KOSIM.2013.30.1.007
DOI
|
5 |
Sohn, Jungpyo (2003). An analytical study on research trends of library and information science in Korea: 1957~2002. Journal of Korean Library and Information Science Society, 34(3), 9-32.
|
6 |
Jin, Seol A & Song, Min (2016). Topic modeling based interdisciplinarity measurement in the informatics related journals. Journal of the Korean Society for Information Management, 33(1), 7-32.
DOI
|
7 |
Lee, Jiyoung (2020). A topic modeling analysis of research trends in the Journal of Literacy. The Korean Journal of Literacy Research, 11(6), 537-565. https://doi.org/10.37736/kjlr.2020.12.11.6.18
DOI
|
8 |
Park, Ju Sep, Hong, Soon-goo, & Kim, Jong-Weon (2017). A study on science technology trend and prediction using topic modeling. Journal of the Korea Society Industrial Information Syste, 22(4), 19-28.
|
9 |
Blei, D. M., & Lafferty, J. D. (2006, June). Dynamic topic models. In Proceedings of the 23rd International Conference on Machine Learning, 113-120.
|
10 |
Landauer, T. K., Foltz, P. W., & Laham, D. (1998) An introduction to latent semantic analysis. Discourse Processes, 25, 259-284.
DOI
|
11 |
Song, Jung-Sook (2010). Trends in library and information science research in Korea: focused on masters theses and doctoral dissertations from 2001 to 2010. Journal of Korean Library and Information Science Society, 41(4), 333-353.
DOI
|
12 |
Woo, Changwoo & Lee, JongYun (2020). Investigation of research trends in the D(Data). N(Network).A(A.I) field using the dynamic topic model. Journal of the Korea Convergence Society, 11(9), 21-29.
DOI
|
13 |
Yang, Kiduk, Kim, SeonWook, & Lee, HyeKyung (2021). Comparison of research performance between domestic and international library and information science scholars. Journal of the Korean Library and Information Science Society, 55(1), 365-392.
|
14 |
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3(4-5), 993-1022.
|
15 |
Deveci, T. (2019). Sentence length in education research articles: a comparison between Anglophone and Turkish authors. The Linguistics Journal, 14(1), 73-100.
|
16 |
Lee, Jae Yun (2015). Identifying the research fronts in Korean library and information science by document co-citation analysis. Journal of the Korean Society for Information Management, 32(4), 77-106.
DOI
|
17 |
Lee, Myeong-Hee (2005). Some trends and issues of qualitative research method in library and information science. Journal of the Korean Biblia Society for Library and Information Science, 16(2), 177-201.
|
18 |
Oh, Se-Hoon (2005). A study on the research trends of library & information science in Korea by analyzing journal articles and the cited literatures. Journal of the Korean Society for Information Management, 22(3), 379-408. https://doi.org/10.3743/KOSIM.2005.22.3.379
DOI
|
19 |
Park, JunHyeong & Oh, Hyo-Jung (2017). Comparison of topic modeling methods for analyzing research trends of archives management in Korea: focused on LDA and HDP. Journal of Korean Library and Information Science Society, 48(4), 235-258. doi:10.16981/kliss.48.4.201712.235
DOI
|