Applications of Text Classification using Text Mining

Applications of Text Classification using Text Mining

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-13 Number-5
Year of Publication : 2014
Authors : Mrs. Manisha Pravin Mali , Dr. Mohammad Atique
  10.14445/22315381/IJETT-V13P244

Citation 

Mrs. Manisha Pravin Mali , Dr. Mohammad Atique. "Applications of Text Classification using Text Mining", International Journal of Engineering Trends and Technology (IJETT), V13(5),209-212 July 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Text mining is a technology to discover patterns, trends and knowledge which is previously unknown, semi-automatically from huge collections of unstructured text. Text classification in text mining is a supervised learning process, which aims to assign a document to one or more predefined categories based on its content. Text classification using text mining helps us to analyse large amount of digital data. In this paper, some of the applications are discussed which are belonging to areas like business, medicine, law and society.

References

[1] Aaron M. Cohen and William R. Hersh, A survey of current work in biomedical text mining, HENRY STEWART PUBLICATIONS 1467-5463. BRIEFINGS IN BIOINFORMATICS.VOL 6. NO 1. 57–71. MARCH 2005
[2] E.W.T. Ngai, Li Xiu, D.C.K. Chau, Application of data mining techniques in customer relationship management: A literature review and classification, An International journal of Expert Systems with Applications36 (2009) 2592–2602
[3] Man Lan, Chew Lim Tan, Jian Su, and Yue Lu, “Supervised and Traditional Term Weighting Methods for Automatic Text Categorization”, IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 31, No. 4, April 2009J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.
[4] Manisha Pravin Mali , Dr. Mohammad Atique, “A Critical Review of Text Classification using Soft Computing”, ICII 2012 & CSI Annual Convention, 1-2 Dec 2012, 978-1-25-906170-7
[5] Pang-Ning Tan, Vipin Kumar, Michael Steinbach, Introduction to Data Mining, Pearson, 2013, ISBN 978-81-317-1472-0
[6] Thomas W. Miller, Data and Text Mining A Business Application Approach, Pearson, 2011, ISBN 978-81-317-2100-1

Keywords
Text classification, Text mining, Business, Medicine, Law, Society .