Paper on Text Mining Selected Among Best Papers at Digital Libraries Conference


David Newman presented a plenary paper on statistical topic models for indexing large digital libraries in June at this year’s ACM/IEEE Joint Conference on Digital Libraries. Titled “Subject Metadata Enrichment using Statistical Topic Models, the paper was selected as one of the 5 best research papers at the conference, from over 200 submitted papers. This was joint work with co-authors Chaitanya Chemudugunta and Padhraic Smyth from UC Irvine and Kat Hagedorn from the University of Michigan. The paper appeared in the Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2007), June 2007.”