Subscribe & download
Text and Data Mining Forum
Join panelists for an interactive discussion about opportunities and challenges in text and data mining, with a focus on research purposes and access to content.
Audience questions are encouraged.
Tom Arrow (Software Developer, ContentMine)
Tom Ewing (Associate Dean, College of Liberal Arts and Human Sciences)
Weiguo (Patrick) Fan (Professor, Pamplin College of Business)
Ed Fox (Professor, Department of Computer Science)
Leanna House (Associate Professor, Department of Statistics)
Bert Huang (Assistant Professor, Department of Computer Science)