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News and Blog Analysis with Lydia

Steven Skiena
SUNY Stony Brook

March 3, 2011
JEC 3117 - 4:00 p.m. to 5:00 p.m.


The Lydia project seeks to build a relational model of people, places, and things through natural language processing of news sources and the statistical analysis of entity frequencies and co-locations. Our analysis is quite different from Google News. We track the temporal and spatial distribution of the entities in the news: who is being talked about, by whom, when, and where? Please visit our website (http://www.textmap.com) to see our analysis of recent news obtained from over 500 daily online news sources. In this talk, I will demonstrate Lydia and describe its architecture. I will focus on topics of current research, including sentiment analysis, entity-oriented search, graph-theoretic methods of entity classification, studies of ethnicity/nationality, financial modeling, and sociological research.


Steven Skiena is Professor of Computer Science at Stony Brook University. His research interests include the design of graph, string, and geometric algorithms, and their applications (particularly to biology). He is the author of four books, including "The Algorithm Design Manual" and "Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win". He is recipient of the ONR Young Investigator Award and the IEEE Computer Science and Engineer Teaching Award. More info at his Webpage.

Hosted by: Dr. Sanmay Das (x2782)

Last updated: February 24, 2011