RESEARCH INTEREST
Text Mining, Social Media Mining, Bibliometrics, Information Visualization
Text Mining, Social Media Mining, Bibliometrics, Information Visualization
Sep. 2015 - Feb. 2018
Department of Library and Information Science
Thesis Title: An Analysis of the Influences between Sentiment Values of Korean and American Online News and Macroeconomic Indicators Using Text Mining
Relevant courses: Text Mining, Entitymetrics and Scholarly Literature Analytics, Web and Social Media Mining, Information Visualization and Presentation
Mar. 2011 - Feb. 2015
Department of Library and Information Science
Division of Business Administration (Dual Degree)
Relevant courses: Information Retrieval, Information Systems
Jun. 2014 - Aug. 2014
School of Information
Relevant courses: History of Information
Lee,H.S., Lee,N.K., Seo,H.R., & Song,M. Developing a Supervised Learning based Social Media Business Sentiment Index, Cluster Computing-The Journal of Networks, Software Tools and Applications (SCIE) (Revision)
Jeong,Y.K., Lee,H.S., Yan,E., & Song,M. Investigating the characteristics of author collaboration networks by author-entity bipartite graphs, Scientometrics (SSCI) (Under Review)
Lee, H.S., Seo, H.R., Lee, N.K., & Song, M. (2017). Exploring a Supervised Learning based Social Media Business Sentiment Index, Lecture Notes in Electrical Engineering: Proceedings of the 7th International Conference on Emerging Databases.
Lee, H.S., Lee, M.C., & Song, M. (2017, August). Government's Statistics Trust Measurement Using Text Mining. In Proceedings of the Korean Society for Information Management 24th Conference.
Lee, H.S., Seo, H.R., & Song, M. (2017, February). Research on Media Economic Sentiment Index (MESI) as Preceding Index of Economic Sentiment Index(ESI). In Proceedings of the Workshop on Information Management & Big Data Analysis.
Kim, Y.Y., Lee, H.S., & Kim, S.Y. (2016, August). An experimental Study on News Article Analysis Using Word2Vec for social issues. In Proceedings of the Korean Society for Information Management 23th Conference.
Jun. 2017 - Oct. 2017
Korea Information Society Development Institute, Collaborative study on Text Analysis Method for Statistics trust measurement
Feb. 2016 - Present
National Research Foundation of Korea, Building Community Cohesion through Enhancing Citizenship Behaviors
Oct. 2016 - Present
'Hands-on Text Mining and Analytics' MOOC on Coursera
Nov. 2016 - Jan. 2017
'Unstructured Big Data Analysis' on Yonsei University
Aug. 25, 2016
Kim, Y.Y., Lee, H.S., & Kim, S.Y. (2016, August). An experimental Study on News Article Analysis Using Word2Vec for social issues. In Proceedings of the Korean Society for Information Management 23th Conference.
Best Poster Award
- Statistical Tool: SPSS, EViews
- Programming Language: JAVA
- Visualization Tool: Gephi, CiteSpace, VOSViewer