Text Mining Tutorial

Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from a usually large amount of different unstructured textual resources.

Text Mining Tutorials

• Text Mining tutorial | Science for SEO – This is a fantastic presentation which takes you through all sorts of commonly used algorithms in text mining and for processing web data. Concepts and methods
• Tutorial: Introduction to Text Mining – A quick introduction to Text Mining
• Text Mining: Tutorial and Latest Trends in Applied Research – The Wesse.x Institute of Technology is a postgraduate research centre with an international reputation for engineering excellence. Within the Institute there are currently three research divisions in the areas of Computational Mechanics, Damage Mechanics, and Advanced Computing.
• Untangling Text Data Mining – Untangling Text Data Mining
• Foundations of Statistical Natural Language Processing -Foundations of Statistical Natural Language Processing

Text Mining References

1. Fan, W., Wallace, L., Rich, S. and Zhang, Z. Tapping into the Power of Text Mining. Communications of ACM, 2005.
2. Grobelnik, M. and Mladenic, D. Text-Mining Tutorial. In the Proceeding of Learning Methods for Text Understanding and Mining, Grenoble, France, January 26 – 29, 2004.
3. Hearst, M. Untangling Text Data Mining. In the Proceedings of ACL’99: the 37th Annual Meeting of the Association for Computational Linguistics, University of Maryland, June 20-26, 1999.
4. Ramadan, N. M. Halvorson, H., Vandelinde, A. and Levine, S. R. Low brain magnesium in migraine. Headache, 29(7):416-419, 1989.
5. Swanson, D. R. Complementary structures in disjoint science literatures. In the Proceedings of the 14th Annual International ACM/SIGIR Conference, pages 280-289, 1991.
6. Witten, I. H. “Text mining.” In Practical handbook of internet computing, edited by M.P. Singh, pp. 14-1 – 14-22. Chapman & Hall/CRC Press, Boca Raton, Florida, 2005.