|Assoc Prof Jin Cheon Na|
Division of Information Studies
Wee Kim Wee School of Communication and Information
College of Humanities, Arts, & Social Sciences
Phone: (+65)6790 5011
Office: SCI 04-12
- PhD Texas A&M University 2001
- MS(CompInfoSc) Oklahoma State University 1990
- BS Hanyang University 1987
|Before joining the Division of Information Studies at the Wee Kim Wee School of Communication and Information, Dr Na worked six and half years for a Korean military research institute, the Agency for Defense Development, as a senior researcher. At Texas A&M University, he developed a caT (context-aware Trellis), a context-aware hypertext model with associated tools, for his dissertation. Currently, he is exploring effective ways of performing information processing by applying various techniques from multidiscipline, such as machine learning, data mining, information retrieval, human-compuer interaction, and natural language processing. He has published over 40 papers in various international journals and conference proceedings mainly in the areas of Digital Libraries, Hypertext & Hypermedia, Document Engineering, and Knowledge Organization.|
|His research interest focuses on Digital Libraries and Hypermedia Systems. He is primarily investigating effective ways of information processing by applying various techniques from multiple disciplines, such as information retrieval, data mining, machine learning, natural language processing, and human-computer interaction. Specifically he is doing researches in automatic sentiment classification (e.g. automatically classifying Web product reviews as expressing positive or negative sentiments/opinions), information extraction pattern learning for knowledge discovery, and development of digital library applications that provide intelligent, user-friendly interface.|
|Research Grant |
- Academic Research Fund Tier 1 (2009-)
- Academic Research Fund Tier 2 (2012-)
- RCC (2005-)
- RCC (2008-)
|Current Projects |
- Digital Intelligence
- Digital Intelligence (old research cluster)
- Influence Detection within Blogosphere
- Mining of Product Comparisons from online review documents
- ROSE (Reputable Opinion Social Environment) via Connectors, Mavens, and Salesmen
- Sentiment Summarization of Multiple Genre Review Documents
- Tan, K.-W. and Na, J.-C. (2013). Analysis of Bloggers’ Influence Style within Blogs. Journal of Information Science Theory and Practice (JISTaP), 1(2).
- Jaidka, K., Khoo, C., & Na, J.-C. (2013). Literature review writing: How information is selected and transformed. Aslib Proceedings, 65(3).
- Tan, K.-W., Na, J.-C., and Theng, Y.-L., and Chang, K. (2012). Phrase-Level Sentiment Polarity Classification Using Rule-Based Typed Dependencies and Additional Complex Phrases Consideration. Journal of Computer Science and Technology, 27(3), 650-666.
- Tan, K.-W., Na, J.-C., Theng, Y.-L., and Chang, K.-Y. (2012). Lecture Notes in Computer Science: Blog Site Profiling Through Influence Style Detection. Proceedings of ICADL (International Conference on Asian Digital Libraries (pp. 329-332)Taipei, Taiwan: Springer-Verlag.
- Na, J.-C., Kyaing, W. Y. M., Khoo, C., Foo, Schubert, Chang, Y.-K., and Theng, Y.-L. (2012). Proceedings of ICADL (International Conference on Asian Digital Libraries) 2012: Sentiment classification of drug reviews using a rule-based linguistic approach. International Conference on Asian Digital Libraries (pp. 189-198)Berlin: Springer-Verlag.