Text mining
|
|
Text mining, also known as intelligent text analysis, text data mining or knowledge-discovery in text (KDT), refers generally to the process of extracting interesting and non-trivial information and knowledge from unstructured text. Text mining is a young interdisciplinary field which draws on information retrieval, data mining, machine learning, statistics and computational linguistics. As most information (over 80%) is stored as text, text mining is believed to have a high commercial potential value.
One of the largest text mining applications that exist is probably the classified ECHELON surveillance system.
External links
- Kmining (http://www.kmining.com/info_conferences.html) List of text mining, data mining and KDD scientific conferences
- KDNuggets (http://www.kdnuggets.com/) Data Mining, Web Mining, and Knowledge Discovery Guide
- Text Mining Encyclopedia of Terms (http://seokeywordanalysis.com/seotools/infobase/textmining/)
- Text mining summit 2005 (http://www.textminingnews.com/)