Min Song

 

 


 

Min Song is a Underwood Distinguished Professor in the Department of Library and Information Science at Yonsei University. Prior to Yonsei, Min was an Associate Professor of the Department of Information Systems and co-director of the Informatics Research Laboratory at New Jersey Institute of Technology, where the goal of his research is discovery of knowledge from large natural language data such as blogs, doctor’s notes, and scientific publications. His research interests are in biomedical text mining, social media mining, and informetrics. He has published more than 150 journal and conference papers.




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Nov 28th 2016

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists.

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