Demo: Using RapidMiner for Text Mining
DOI:
https://doi.org/10.55630/dipp.2013.3.33Keywords:
Text Mining, RapidMiner, Text Processing, Tokenization, Naive BayesAbstract
In this demo the basic text mining technologies by using RapidMining have been reviewed. RapidMining basic characteristics and operators of text mining have been described. Text mining example by using Navie Bayes algorithm and process modeling have been revealed.References
Nong Ye, The Handbook of Data Mining, Arizona State University, Lawrence Erlbaum As-sociates, publishers Mahwah, New Jersey London, 2003.
Brook Wu, Handbook of Research on Text and Web Mining Technologies, Information Sci-ence Reference - New York, 2009.
Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, An Int roduction to Information Retrieval, Online edition 2009 Cambridge UP.
I. Rish, An Empirical Study of the Naive Bayes classifier, Computer Science, November 2, 2001.
Ian H.Witten, Katherine J. Don, Michael Dewsnip, Valentin Tablan, Text-mining in a digital library, Published online: 2003 – Springer-Verlag 2003.
RapidMiner 4.4, User Guide Operator Reference Developer Tutorial, Rapid-I GmbH, Stockumer Str. 475, 44227 Dortmund, Germany, http://www.rapidminer.com/, Copyright 2001-2009 by Rapid-I, March 14, 2009.
