Practical text mining and statistical analysis for non-structured text data applications / Gary Miner ... [et al.] ; major guest authors, Jennifer Thompson ... [et al].
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can b...
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| Year of Publication: | 2012 |
| Edition: | 1st ed. |
| Language: | English |
| Online Access: | |
| Physical Description: | xl, 1053 p. :; ill. (some col.) |
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Table of Contents:
- Machine generated contents note: Preface: What is TM and what it can do for you Introduction: How to use this book, and chapter summaries Part I: History, Process and Applications of Text Mining; Part II: Tutorials Part III: Areas of Technical Focus in Text Mining Part V: Text Mining Practice and Prospect: The Right Model for the Right Purpose, Summary, and the Future of TM.