[Online library] Text Mining Application Programming (Charles River Media Programming)
• Manu Konchady •
| #1138111 in Books | Cengage Learning | 2006-05-04 | Original language:English | PDF # 1 | 1.05 x7.38 x9.20l,1.91 | File Name: 1584504609 | 432 pages |
||0 of 0 people found the following review helpful.| Just OK|By JoeT|Pros: Good OVERVIEW of topics, but lacked depth on most of them.
Cons: 1. Software on the CD was a nightmare to get to work and I didn't have success in some cases. 2. Absolutely no linkage between the text and the software. Not convinced anyone ever tested the software orbtried to install it on a vanilla system.
Summar||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 Documen
Text mining offers a way for individuals and corporations to exploit the vast amount of information available on the Internet. Text Mining Application Programming teaches developers about the problems of managing unstructured text, and describes how to build tools for text mining using standard statistical methods from Artificial Intelligence and Operations Research. These tools can be used for a variety of fields, including law, business, and medicine. Key topics co...
[PDF.ao54] Text Mining Application Programming (Charles River Media Programming) Rating: 4.82 (592 Votes)
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