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/)

See also

• Data mining
• Information Retrieval
• Natural language processing
• Computational linguistics
• Business intelligence
• Text analysis tool (http://textalyser.net/)