Acknowledgement
Supported by : 서울여자대학교
References
- Kang, Beomil, Song, Min, & Jho, Whasun (2013). A study on opinion mining of newspaper texts based on topic modeling. Journal of the Korean Society for Library and Information Science, 47(4), 315-334. http://dx.doi.org/10.4275/KSLIS.2013.47.4315
- National Science Museum of Korea (2018, June 1). What is the big data? Retrieved from https://smart.science.go.kr/scienceSubject/bigdata/view.action?menuCd=DOM_000000101001013000&subject_sid=1201
- Kim, Bong Je (2018). A study on the characteristics of the use of moral and ethical terms in korean society through big data analysis. Journal of Moral & Ethics Education, (58), 27-58.
- Kim, Soo-Yeon, Kim, Daewook, & Choi, Myung-Il (2013). Semantic network analysis of advertising and public relations studies in korea - Using key words in Advertising Research, The Korean Journal of Advertising, The Journal of Public Relations Research, and The Korean Journal of Advertising and Public Relation, The Korean Journal of Advertising and Public Relations, 15(1), 59-85.
- Kim, Hee-Jung (2006). A study on the serial analysis and expansion of research areas of records management and archives. Journal of Korean Society of Archives and Records Management, 6(2), 5-25.
- Park, Daemin (2013). News information source network analysis as a big data analysis method of news articles. Korean Journal of Journalism & Communication Studies, 57(6), 234-262.
- Park, Daemin (2016). Automated time series content analysis with news big data analytics: Analyzing sources and quotes in one million news articles for 26 years. Korean Journal of Journalism & Communication Studies, 60(5), 353-407. https://doi.org/10.20879/kjjcs.2016.60.5.013
- Park, Seung Jeong, John, Jino, Kim, Seon Woo, & Kim, Sung Tae (2017). A big-data analysis of presidential issue ownership of two prestigious korean newspapers: Focusing on LDA (latent dirichlet allocation) topic modeling. The Journal of Political Science & Communication, 20(3), 25-55. http://dx.doi.org/10.15617/psc.2017.10.31.3.25
- Park, JunHyeong, Ryu, Pum-Mo, & Oh, Hyo-Jung (2018). Timeline-based topic trend analysis of archives management in Korea. Journal of Korean Society of Archives and Records Management, 18(1), 29-47. http://dx.doi.org/10.14404/JKSARM.2018.18.1.029
- Park, Han Woo, & Leydesdorff, L. (2004). Understanding the KrKwic: A computer program for the analysis of Korean text. Journal of the Korean Data Analysis Society, 6(5), 1377-1388.
- Seo, Eun-Gyoung, & Yu, So-Young (2013). Detecting research trends in Korean information science research, 2000-2011. Journal of the Korean Society for Information Management, 30(4), 215-239. http://dx.doi.org/10.3743/KOSIM.2013.30.4.215
- Sung, Ji-Young, & Kim, Sung-Kyun (2017). Interpretation of the place discourse of Deoksugung Doldam-gil through news big data. Journal of Digital Contents Society, 18(5), 923-932. http://dx.doi.org/10.9728/dcs.2017.18.5.923
- Shin, Seongheon (2016, Aug, 10). [Media innovator] "Bigkinds, analyzing 30 million news articles... 2 years ahead of IBM." Chosun Biz. Retrieved from http://biz.chosun.com/site/data/html_dir/2016/08/10/2016081001399.html
- Yoo, Sarah (2010). A diagnostic analysis of metadata R&D status in Korea. Journal of the Korean Society for Library and Information Science, 44(2), 405-426. http://dx.doi.org/10.4275/KSLIS.2010.44.2.405
- Lee, Soo-Sang (2012). Network analysis methods. Seoul: Nonhyung.
- Lee, Soo-Sang (2017). Analysis of social issues of the newspaper articles on Gyeongju earthquakes. Journal of the Korean Library and Information Science Society, 48(2), 53-72. http://dx.doi.org/10.16981/kliss.48.201706.53
- Lee, Eunbyul, John, Jino, & Baek, Jeesun (2017). A study of multicultural space in Seoul: Analysing the coverage of foreign communities with news big data analytics 'BigKinds' for 27 years. Journal of Media Economics & Culture, 15(2), 7-43. http://dx.doi.org/10.21328/JMEC.2017.5.15.2.7
- Lee, Jae-Yun, Moon, Ju-Young, & Kim, Hee-Jung (2007). Examining the intellectual structure of records management & archival science in Korea with text mining. Journal of the Korean Society for Library and Information Science, 41(1), 345-372. https://doi.org/10.4275/KSLIS.2007.41.1.345
- Jang, Jeong-Woo, & Choi, Kyoung-Ho (2012). Statistics act content analysis using semantic network analysis. Journal of Korean Official Statistics, 17(2), 53-66.
- Choi, Yoon-jung, & Kweon, Sang-Hee (2014). A semantic network analysis of the newspaper articles on big data. Journal of Cybercommunication Academic Society, 31(1), 241-286.
- 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. http://dx.doi.org/10.3743/KOSIM.2018.35.2.089
- Kakao Corp. (2015). Daum Kakao, providing Daum news layout and key data on the official blog. Kakao Press Release. Retrieved from https://www.kakaocorp.com/kakao/prChannel/pressReleasesView?boardIdx=8356¤tPage=1¤tGroup=1
- Korea Press Foundation (2018). Bigkinds user manual. Retrieved from https://www.kinds.or.kr/manual/%EB%B9%85%EC%B9%B4%EC%9D%B8%EC%A6%88_%EC%82%AC%EC%9A%A9%EC%9E%90%EB%A7%A4%EB%89%B4%EC%96%BC.pdf
- Blei, D. M. (2012). Probabilistic topic modeling, Communications of the ACM, 55(4), 77-84. http://dx.doi.org/10.1145/2133806.2133826
- Borgatti, S. P. (2002). NetDraw: graph visualization software. Harvard: Analytic Technologies.
- Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet 6 for Windows: software for social network analysis. Harvard, MA: Analytic Technologies.