TSMM (Text & Social Media Mining) Lab

Where Innovation is Created

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Min Song

Short Biography

Prof. Song has a background in Text Mining, Bioinfomatics, Information Retrieval and Information Visualization. Prior to Yonsei, he was an Associate Professor with tenure in the Department of Information Systems at New Jersey Institute of Technology (NJIT).  At NJIT, he received several grants from NSF and IMLS and published a number of papers in the Text Mining research area. Before joining NJIT, Professor Song worked at Thomson Scientific (now Thomson Reuters). At Thomson, the major responsibilities were to develop Knowledge Management tools, middleware components, and the search engine for citation database. His recent work in Text Mining addresses automatic database selection, entity and relation extraction, high speed document filtering, algorithms that learn a person's information needs from experience, automatic analysis of gathered information. He is also involved in a variety of information visualization projects. Prof. Song is also interested in information and knowledge management in large organizations. He is currently interested in applying Text Mining algorithms to Bioinformatics and Social Media.

Full C.V.


PhD. School of Information Science and Technology, Drexel University

MS. School of Library and Information Science, Indiana University

BA. Department of Library and Information Science, Yonsei University

Work Experience

Underwood Distinguished Professor, Department of Library and Information Science, Yonsei  2014 - Present

Associate Professor, Department of Library and Information Science, Yonsei  2012 - Present

Associate Professor, Department of Information Systems, NJIT  2011 Fall - 2012 February

Assistant Professor, Department of Information System, NJIT 2006 - 2011 Spring

Senior Software Engineer, Thomson Reuters 1999 - 2006

Editorial Boad Members
Online Journal of Bioinformatics

International Journal of Data Mining and Bioinformatics

International Journal of Computational Models and Algorithms in Medicine (IJCMAM)