References
- The Guardian, ChatGPT Reaches 100 Million Users Two Months after Launch [Internet]. https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastestgrowing-app.
- N. F. Liu, T. Zhang, and P. Liang, "Evaluating Verifiability in Ggenerative Search Engines," arXiv preprint arXiv:2304.09848, 2023. DOI: https://doi.org/10.48550/arXiv.2304.09848
- J. Y. Lee, "A Study on Metaverse Hype for Sustainable Growth," International Journal of Advanced Smart Convergence (IJASC), Vol. 10, No. 3, pp. 72-80, 2021. DOI: https://doi.org/10.7236/IJASC.2021.10.3.72
- J. Y. Lee, Exploring Hype Dynamics of Virtual Reality and Augmented Reality for Predicting Success Factors of Metaverse, Ph. D. Thesis. Graduate School, Yonsei University, Seoul, Korea, 2022.
- J. Y. Lee, "Deep Learning Research Trend Analysis using Text Mining," International Journal of Advanced Culture Technology (IJACT), Vol. 7, No. 4, pp. 295-301, December 2019. DOI: https://doi.org/10.17703/IJACT.2019.7.4.295
- J. Y. Lee, "A Study on Research Trend Analysis and Topic Class Prediction of Digital Transformation using Text Mining," International Journal of Advanced Smart Convergence (IJASC), Vol. 8, No. 2, pp. 183-190, 2019. DOI: https://doi.org/10.7236/IJASC.2019.8.2.183
- A. Amado, P. Cortez, P. Rita, and S. Moro, "Research Trends on Big Data in Marketing: A Text Mining and Topic Modeling based Literature Analysis," European Research on Management and Business Economics, Vol. 24, No. 1, pp. 1-7, 2018. DOI: https://doi.org/10.1016/j.iedeen.2017.06.002
- K. Bastani, H. Namavari, and J. Shaffer, "Latent Dirichlet allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints," Expert Systems with Applications, Vol. 127, pp. 256-271, 2019. DOI: https://doi.org/10.1016/j.eswa.2019.03.001
- R. Alghamdi and K. Alfalqi, "A Survey of Topic Modeling in Text Mining," International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 6, No. 1, pp. 147-153, 2015. https://doi.org/10.14569/IJACSA.2015.060121
- H. M. Wallach, I. Murray, R. Salakhutdinov, and D. Mimno, "Evaluation Methods for Topic Models," in Proc. 26th Annual International Conference on Machine Learning (ICML), pp. 1105-1112, June 2009. DOI: https://doi.org/10.1145/1553374.1553515
- C. Sievert and K. Shirley, "LDAvis: A Method for Visualizing and Interpreting Topics," in Proc. the Workshop on Interactive Language Learning, Visualization, and Interfaces, pp. 63-70, June 27, 2014.