Text Mining Application Programming
Summary
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Text Mining Application Programming by Manu Konchady
Helping developers understand the problems associated with managing unstructured text, this book explains how to build your own mining tools using standard statistical methods from information theory, artificial intelligence, and operations research.
Preface Acknowledgments Chapter 1 Introduction Chapter 2 Mathematics Background Chapter 3 Exploring Text Chapter 4 Markov Models and POS Tagging Chapter 5 Information Extraction Chapter 6 Search Engines Chapter 7 Searching the Web Chapter 8 Clustering Documents Chapter 9 Text Categorization Chapter 10 Summarization Chapter 11 Question & Answer About the CD-ROM Index
Manu Konchady (Oakton,VA) is a consultant working on open source text mining software. Previously, he worked at Mitre Corp. where he designed and developed software to mine the Internet. He received his Ph.D. in Information Technology from George Mason University and his articles have appeared in Dr. Dobb's Journal and Linux Journal.
| SKU | Unavailable |
| ISBN 13 | 9781584504603 |
| ISBN 10 | 1584504609 |
| Title | Text Mining Application Programming |
| Author | Manu Konchady |
| Condition | Unavailable |
| Binding Type | Mixed media product |
| Publisher | Cengage Learning, Inc |
| Year published | 2006-05-04 |
| Number of pages | 412 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |