Tetsuya Nasukawa
Text Analytics and Knowledge Mining
IBM Research
Japan
Biography
Tetsuya Nasukawa is a Senior Technical Staff Member at IBM Research - Tokyo, and a member of IBM Academy of Technology. He was involved in several machine translation projects after joining IBM Research in 1989. He started a text mining (TM) project to take advantage of natural language processing technology developed through machine translation (MT) projects, and he developed a text analysis and knowledge mining system named IBM TAKMI. In addition to his work within IBM Research - Tokyo, he has had several special assignments, such as implementing MT in the National Language Support section of IBM Japan, doing research as a research staff member at the Watson Research Center, and supporting real-world TM implementations with IBM Business Consulting Services. He received a Ph.D. degree from Waseda University in 1998 for his work on natural language processing. His research interests include natural language understanding, text mining, sentiment analysis, and conversation mining. Tetsuya Nasukawa is a Senior Technical Staff Member at IBM Research - Tokyo, and a member of IBM Academy of Technology. He was involved in several machine translation projects after joining IBM Research in 1989. He started a text mining (TM) project to take advantage of natural language processing technology developed through machine translation (MT) projects, and he developed a text analysis and knowledge mining system named IBM TAKMI. In addition to his work within IBM Research - Tokyo, he has had several special assignments, such as implementing MT in the National Language Support section of IBM Japan, doing research as a research staff member at the Watson Research Center, and supporting real-world TM implementations with IBM Business Consulting Services. He received a Ph.D. degree from Waseda University in 1998 for his work on natural language processing. His research interests include natural language understanding, text mining, sentiment analysis, and conversation mining.
Research Interest
Knowledge Discovery and Data Mining
