Abstract
Our principal objective is predictive text mining. The wealth of research literature for text mining encompasses a much wider range of topics than is presented here. At the same time, the research literature deals with each of these topics in great depth, describing many alternatives to the approaches that we have selected. Our description is not a comprehensive review of the field. We have used our judgment in selecting the basic areas of interest and the fundamental concepts that can lead to practical results. For example, thousands of papers have been written on classification methods. We picked our favorites for text mining.
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© 2005 Springer Science+Business Media, Inc.
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Weiss, S.M., Indurkhya, N., Zhang, T., Damerau, F.J. (2005). Emerging Directions. In: Text Mining. Springer, New York, NY. https://doi.org/10.1007/978-0-387-34555-0_8
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DOI: https://doi.org/10.1007/978-0-387-34555-0_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95433-2
Online ISBN: 978-0-387-34555-0
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