Steven Skiena
Location: (Stony Brook, NY)
Personal Research Web Page: http://www.cs.sunysb.edu/~skiena
Keywords: news/blog analysis, Web 2.0, sentiment analysis, social science research, social networks, natural language processing, NLP, Hadoop, Map-Reduce, data mining, visualization, synthetic biology, bioinformatics, computational biology, algorithm design
Posted on: Thursday, May 5th, 2011
Broad Research Area: AI / Machine Learning / Robotics / Vision, Databases / Information Retrieval / Data Mining, Graphics / Visualization, Scientific/Medical Informatics, Social Computing / Social Informatics, Theory / Algorithms
Research Interests:
The Lydia news/blog analysis 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.org) to see our analysis of news obtained from over 500 daily online news sources.
Now is a particularly exciting time to join the Lydia project ! We have begun active collaborations with political scientists, sociologists, and finance professionals to apply our news analysis to their fields. This opens up Computer Science research opportunities in data mining, machine learning, network analysis, and visualization, We easily keep up with all world’s news feeds plus one terabyte corpus of historical news, thanks to our 28-node cluster and Hadoop-based distributed processing. Our current focus is on NLP, particularly improving our entity recognition and sentiment analysis, in English and other languages.
I also have an exciting bioinformatics project in synthetic biology. Working with virologists, we design virus genome sequences to serve as vaccines, then synthesize our designs to see how they grow! Our work has been in Science and Nature Biotechnology, and is now being applied to several human and animal pathogens.
Contact Information:
Best by email: email obfuscated - click to reveal or email obfuscated - click to reveal.edu
skype: sskiena
office phone: 1-631-632-9026
