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http://dx.doi.org/10.13106/jidb.2022.vol13.no9.37

Topic Modeling Analysis of Social Media Marketing using BERTopic and LDA  

YANG, Woo-Ryeong (Dept. of Business Informatics, Hanyang University)
YANG, Hoe-Chang (Department of Distribution Management, Jangan University)
Publication Information
The Journal of Industrial Distribution & Business / v.13, no.9, 2022 , pp. 37-50 More about this Journal
Abstract
Purpose: The purpose of this study is to explore and compare research trends in Korea and overseas academic papers on social media marketing, and to present new academic perspectives for the future direction in Korea. Research design, data and methodology: We used English abstract of research paper (Korea's: 1,349, overseas': 5,036) for word frequency analysis, topic modeling, and trend analysis for each topic. Results: The results of word frequency and co-occurrence frequency analysis showed that Korea researches focused on the experiential values of users, and overseas researches focused on platforms and content. Next, 13 topics and 12 topics for Korea and overseas researches were derived from topic modeling. And, trend analysis showed that Korean studies were different from overseas in applying marketing methods to specific industries and they were interested in the short-term performance of social media marketing. Conclusions: We found that the long-term strategies of social media marketing and academic interest in the overall industry will necessary in the future researches. Also, data mining techniques will necessary to generate more general results by quantifying various phenomena in reality. Finally, we expected that continuous and various academic approaches for volatile social media is effective to derive practical implications.
Keywords
Social Media Marketing; Research Trends; Topic Modeling; BERTopic; LDA;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Barua, A., Thomas, S. W., & Hassan, A. E. (2014). What are developers talking about? an analysis of topics and trends in stack overflow. Empirical Software Engineering, 19(3), 619-654.   DOI
2 Gautam, V., & Sharma, V. (2017). The mediating role of customer relationship on the social media marketing and purchase intention relationship with special reference to luxury fashion brands. Journal of Promotion Management, 23(6), 872-888.   DOI
3 Hays, S., Page, S. J., & Buhalis, D. (2013). Social media as a destination marketing tool: its use by national tourism organisations. Current issues in Tourism, 16(3), 211-239.   DOI
4 Huang, O., & Copeland, L. (2020). GEN Z, INSTAGRAM INFLUENCERS, AND HASHTAGS'INFLUENCE ON PURCHASE INTENTION OF APPAREL. Academy of marketing studies journal, 24(3), 1-14.
5 Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53(1), 59-68.   DOI
6 Kennedy, H., Kunkel, T., & Funk, D. C. (2021). Using Predictive Analytics to Measure Effectiveness of Social Media Engagement: A Digital Measurement Perspective. Sport Marketing Quarterly, 30(4), 265-277.
7 Lee, J., & Kwon, K. H. (2022). Mobile shopping beauty live commerce changes in COVID-19 pandemic focused on fun contents of MZ generation in Republic of Korea. Journal of Cosmetic Dermatology. 21(6), 2298-2306.   DOI
8 Martinez-Lopez, F. J., Anaya-Sanchez, R., Fernandez Giordano, M., & Lopez-Lopez, D. (2020). Behind influencer marketing: key marketing decisions and their effects on followers' responses. Journal of Marketing Management, 36(7-8), 579-607.   DOI
9 Nadeem, W., Tan, T. M., Tajvidi, M., & Hajli, N. (2021). How do experiences enhance brand relationship performance and value co-creation in social commerce? The role of consumer engagement and self brand-connection. Technological Forecasting and Social Change, 171, 120952.   DOI
10 Saef, R., Woo, S. E., Carpenter, J., & Tay, L. (2018). Fostering socio-informational behaviors online: The interactive effect of openness to experience and extraversion. Personality and Individual Differences, 122, 93-98.   DOI
11 Thackeray, R., Neiger, B. L., Hanson, C. L., & McKenzie, J. F. (2008). Enhancing promotional strategies within social marketing programs: use of Web 2.0 social media. Health promotion practice, 9(4), 338-343.   DOI
12 Yadav, M., & Rahman, Z. (2017). Measuring consumer perception of social media marketing activities in e-commerce industry: Scale development & validation. Telematics and Informatics, 34(7), 1294-1307.   DOI
13 Bolat, E., & O'Sullivan, H. (2017). Radicalising the marketing of higher education: learning from student-generated social media data. Journal of Marketing Management, 33(9-10), 742-763.   DOI
14 Abuzayed, A., & Al-Khalifa, H. (2021). BERT for Arabic topic modeling: an experimental study on BERTopic technique. Procedia Computer Science, 189, 191-194.   DOI
15 Bae, S. Y., & Chang, P. J. (2021). The effect of coronavirus disease-19 (COVID-19) risk perception on behavioural intention towards 'untact'tourism in South Korea during the first wave of the pandemic (March 2020). Current Issues in Tourism, 24(7), 1017-1035.   DOI
16 Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794.
17 Yang, H. C. (2021). Topic Modeling Analysis of Franchise Research Trends Using LDA Algorithm. The Korean Journal of Franchise Management, 12(4), 13-23.   DOI
18 Kim, N., Park, J., Kim, K. H., Aiello, G., & Donvito, R. (2012). A study on measuring and defining customer equity of complex shopping malls. Journal of Global Fashion Marketing, 3(2), 71-80.   DOI
19 Berthon, P. R., Pitt, L. F., Plangger, K., & Shapiro, D. (2012). Marketing meets Web 2.0, social media, and creative consumers: Implications for international marketing strategy. Business horizons, 55(3), 261-271.   DOI
20 Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84.   DOI
21 Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of computer- mediated Communication, 13(1), 210-230.   DOI
22 Curty, R. G., & Zhang, P. (2013). Website features that gave rise to social commerce: a historical analysis. Electronic commerce research and applications, 12(4), 260-279.   DOI
23 Voorveld, H. A., Van Noort, G., Muntinga, D. G., & Bronner, F. (2018). Engagement with social media and social media advertising: The differentiating role of platform type. Journal of advertising, 47(1), 38-54.   DOI
24 Deng, Q., Hine, M. J., Ji, S., & Wang, Y. (2021). Understanding consumer engagement with brand posts on social media: The effects of post linguistic styles. Electronic Commerce Research and Applications, 48, 101068.   DOI
25 Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National academy of Sciences, 101(suppl_1), 5228-5235.   DOI
26 Kim, A. J., & Ko, E. (2012). Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. Journal of Business research, 65(10), 1480-1486.   DOI
27 Li, F., Larimo, J., & Leonidou, L. C. (2021). Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda. Journal of the Academy of Marketing Science, 49(1), 51-70.   DOI
28 Park, S. B., Cho, K. M., & Byun, H. (2019). The effect of SNS marketing activity on emotional reaction, dance company image, consumer behavior. Journal of Korean Association of Physical Education and Sport for Girls and Women, 33(1), 15-39.   DOI
29 Yang, W. R., & Yang, H. C. (2022). Overseas Research Trends Related to'Research Ethics' Using LDA Topic Modeling. Journal of Research and Publication Ethics, 3(1), 7-11.