News/Blog Feeds:
Enterprise search: free as in free beer? (1210958580|%O ago)
BEA and Oracle in Chicago (1210957320|%O ago)
Perceptive Pixel: Update (1210950600|%O ago)
Future of News at Princeton (1210949880|%O ago)
IBM Takes a Lead in the Mashup Fray (1210949327|%O ago)
Vendor criticism of CMS Watch (1210948980|%O ago)
Advice for vendors dealing with independent analysts (1210947540|%O ago)
Forum/Discussion Feeds:
Job Opportunity: NLP Software Developer (1210583891|%O ago)
Workshop on Text Mining Applications in the Social Sciences (fwd) (1210158496|%O ago)
Short interviews on VOC/CEM (1209388426|%O ago)
White paper: Text Technologies in the Mainstream (1209003331|%O ago)
This wiki aims to be a one-stop site for everything related to Text Analytics (also known as Text Mining or Information Extraction). It aims to go well beyond the limits of Wikipedia to provide links to people, organisations, the latest research and news.
Use the menu on the left to navigate around this site. I hope you find it useful. Please contribute to make it even more useful!
More Information
If you want to know more about Text Analytics, you might find the following introductory material useful:
- Paul Jacobs' "Text Interpretation: Extracting Information", Section 7.3, Survey of the State of the Art in Human Language Technology
- Roland Piquepaille's Article on Text Mining the New York Times
- Marti Heart's "What Is Text Mining?"
- Seth Grimes' "What's Next For Text"
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