Techniques , Applications and Challenging Issue in Text Mining

  title={Techniques , Applications and Challenging Issue in Text Mining},
  author={Shaidah Jusoh and Hejab M. Alfawareh},
Text mining is a very exciting research area as it tries to discover knowledge from unstructured texts. These texts can be found on a computer desktop, intranets and the internet. The aim of this paper is to give an overview of text mining in the contexts of its techniques, application domains and the most challenging issue. The focus is given on fundamentals methods of text mining which include natural language possessing and information extraction. This paper also gives a short review on… CONTINUE READING
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R. Jones, R. Ghani, T. Mitchell, E. Riloff
Proceedings of the 20th International IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, November 2012 ISSN (Online): 1694-0814 435 Copyright (c) 2012 International Journal of Computer Science Issues. All Rights Reserved. Conference on Machine Learning (IC • 2012
View 1 Excerpt

Agent-based knowledge mining architecture

S. Jusoh, H. M. Alfawareh
Proceedings of the 2009 International Conference on Computer Engineering and Applications, IACSIT. Manila, Phillipphines: World Academic Union, June 2009, pp. 602–606. • 2009
View 1 Excerpt

Natural language interface for online sales systems

2007 International Conference on Intelligent and Advanced Systems • 2007
View 1 Excerpt

Digging for data that can change our world

J. Nightingal
the Guardian, Jan 2006. • 2006
View 1 Excerpt

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