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1 H. Y. Park, and K. J. Kim. "Recommender system using BERT sentiment analysis," Journal of Intelligence and Information Systems, Vol. 27, No. 2, pp. 1-15, Jun. 2021. https://doi.org/10.13088/jiis.2021.27.2.001/   DOI View Article
2 H. Park and K. Kim, "Recommender system using BERT sentiment analysis," Journal of Intelligence and Information Systems, Vol. 27, No. 2, June 2021, pp. 1-15. DOI: 10.13088/JIIS.2021.27.2.001./   DOI View Article
3 Park, H. and K. Kim, "Recommender system using BERT sentiment analysis", Journal of Intelligence and Information Systems, Vol.27, No.1, 2021, 1-15./   DOI View Article
4 S. Y. Yoo, G. G. Lim, "Analysis of the news agenda using text mining and semantic network analysis: Focusing on COVID-19-related emotions", Journal of Intelligence and Information Systems, Vol.27, No.1, pp. 47-64, 2021./   DOI View Article
5 Yoo, S.Y., and G.G.Lim, "Ananlysis of News Agenda Using Text mining and Semantic Network Analysis: Focused on COVID-19 Emotions," Journal of Intelligence and Information System, Vol.27, No. 1(2021), 47-64./   DOI View Article
6 Cho, Y. J., K. S. Sohn and O. B. Kwon, "Comparison of Models for Stock Price Prediction Based on Keyword Search Volume According to the Social Acceptance of Artificial Intelligence" Jounal of Intelligence and Information Systems, Vol.27, No.1(2021), 103~128./ View Article
7 박호연, 김경재. (2021). BERT 기반 감성분석을 이용한 추천시스템. 지능정보연구, 27(2), 1-15./   DOI View Article
8 S. Y Yoo. & G. G. Lim. (2021) Analysis of News Agenda Using Text mining and Semantic Network Analysis: Focused on COVID-19 Emotions. Journal of Intelligence and Information Systems (JIIS), 27(1), 47-64./   DOI View Article
9 Cho, Y., Sohn, K., & Kwon, O. (2021). Comparison of models for stock price prediction based on keyword search volume according to the social acceptance of artificial intelligence. Journal of Intelligence and Information Systems, 27(1), 103-128. doi:10.13088/jiis.2021.27.1.103/   DOI View Article
10 유소연, 임규건. (2021). 텍스트 마이닝과 의미 네트워크 분석을 활용한 뉴스 의제 분석: 코로나 19 관련 감정을 중심으로. 지능정보연구, 27(1), 47-64./   DOI View Article