Tuesday, June 2, 2009

Academic works on News and Freshness

Steven Skiena is quite famous among the Algorithmic comunity for his beatiful books. His research studies for freshness and, in general, on stream data analysis, are less known.
  • TextMap identifies trends in the temporal and geographic interest in entities such as people, places, and things by analyzing roughly 1000 daily English language newspapers.
  • TextMed identifies the relationships between medical or biological entities through an analysis of PubMed/Medline abstracts.
  • TextBiz uses random-walk models to generate a probability distribution on the future prices for all NASDAQ, NYSE, and AMEX stocks.
If you are interested, I suggest you visiting this page with a list of academic papers.

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