1 |
Arun, R., Suresh, V., Veni Madhavan. C. E., & Narasimha Myrthy, M. N. (2010). On finding the natural number of topics with latent dirichlet allocation: Some observations. In: Zaki M.J., Yu J.X., Ravindran B., Pudi V. (eds) Advances in knowledge discovery and data mining. PAKDD 2010. Lecture notes in computer science, Vol 6118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13657-3_43
DOI
|
2 |
Blei, D. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84.
DOI
|
3 |
Jo. H. I., Kim. J. W., & Lee, B. G. (2019). A study on research trends of blockchain using LDA topic modeling: Focusing on United States, China, and South Korea. Journal of Digital Contents Society, 20(7), 1,453-1,460.
DOI
|
4 |
Kim, J. Y., Na, H. S., & Park, K. H. (2021). Topic modeling of profit adjustment research trend in Korean accounting. Journal of Digital Convergence, 19(1), 125-139.
DOI
|
5 |
Kim, N. G., Lee, D. H. Choi, H. C., & Wong, W. X. S. (2017). Investigations on techniques an applications of text analytics. The Journal of Korean Institute of Communications and Information Sciences, 42(2), 471-492.
DOI
|
6 |
Lee, D. Y., & Yi, H. S. (2021). Exploring methods for determining the appropriate number of topics in LDA: Focusing on perplexity and harmonic mean method. Journal of Educational Evaluation, 34(1), 1-30.
|
7 |
Maeng, S. S., & Jhung, Y. K. (2017). Legal disputes on franchise business transactions and efficient regulation plans. Economic Law Studies, 16(1), 235-256.
|
8 |
Moon. Y. H., & Choi, J. H. (2018). Content analysis of journal of channel and retailing: Research trends and future directions. Journal of Channel and Retailing, 23(4), 51-73.
DOI
|
9 |
Nahm, C. H. (2016). An illustrative application of topic modeling method to a farmers diary. Cross-Cultural Studies, 22(1), 89-135.
|
10 |
National Law Information Center (NLIC) (2021). https://www.law.go.kr/법령/가맹사업거래의공정화에관한법률/(18569,20211207)
|
11 |
Deveaud, R., SanJuan, E., & Bellot, P. (2014). Accurate and effective latent concept modeling for ad hoc information retrieval. Document Numerique, 17, 61-84.
DOI
|
12 |
Cao, J., Xia, T., Li, J., Zhang, Y., & Tang, S. (2009). A density-based method for adaptive LDA model selection. Neurocomputing, 72(7-9), 1775-1781.
DOI
|
13 |
Choi, Y. H., Ryu, J. H., & Yoem, G. S. (2005). A study on the operational performance and revision direction of the franchise business act. Fair Trade Commission Service Report, Fair Trade Commission.
|
14 |
Chun, T. Y., Lee, D. K., & Park, N. H. (2020). The effect of marketing activities on the brand recognition, brand familiarity, and purchase intention on the SNS of franchise companies. Journal of Asian Finance, Economics and Business, 7(11), 955-966.
DOI
|
15 |
Griffiths, T., & Steyvers, M. (2004). Finding scientific topics. PNAS, 1(101), 5228-5235. http://ffa.or.kr/61/?q=YToxOntzOjEyOiJrZXl3b3JkX3R5cGUiO3M6MzoiYWxsIjt9&bmode=view&idx=6752304&t=board
DOI
|
16 |
Park. J. H., & Oh, H. J. (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
|
17 |
Market Economy News (2020). Shut up and regulation?... If the mart needs to live, the 'self-employed' also live (article dated June 20, 2020).
|
18 |
National Law Information Center (NLIC) (2021). https://www.law.go.kr/법령/가맹사업진흥에관한법률/(18267,20210615)
|
19 |
Seoul Economy Daily (2021). 23 'Affiliation Act Amendment Bill' in Regulatory Strikes Shakes the Affiliate Ecosystem (January 27, 2021 article)
|
20 |
Song, M. (2017). Text Mining. Seoul: Book Publishig Cheonglam.
|
21 |
Yoon, S. U., Kim, M. C. (2020). Topic modeling on fine dust issues using LDA Analysis. Journal of Energy Engineering, 29(2), 23-29.
DOI
|
22 |
Blei, D. M., Ng, A. Y., Jordam, M. I (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
|
23 |
Korea Franchise Industry Newspaper (2019). [SPECIAL REPORT] Comparison of Korea-US Franchise Business Act Regulations (November 5, 2019 article)
|
24 |
Chuang, J., Manning, C. D., & Heer, J. (2012). Termite: Visualization techniques for assessing textual topic models. Advanced Visual Interfaces, 12, 21-25.
|
25 |
FFA(2021). 2021 Franchise Industry Statistics (Report). Seoul: Foodservice & Franchise Agency(FFA).
|
26 |
Kim, J. E., & Baek, S. G. (2016). Analysis of issues on the college and university structural reform evaluation using text big data analytics. Asian Journal of Education, 17(3), 409-436.
DOI
|