| | |  | Software Engineering | Home » » » Text Mining Application Programming (Charles River Media Programming) | | | | | | | Description: | | 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 covered include, information extraction, clustering, text categorization, searching the Web, summarization, and natural language query systems. The book explains the theory behind each topic and algorithm, and then provides a practical solution implementation with which developers and students can experiment. A wide variety of code is also included for developers to build their own custom solutions. After reading through this book developers will be able to tap into the bevy information available online in ways they never thought possible and students will have a thorough understanding of the theory and practical application of text mining. | | | Product Details: | | | Author:
| Manu Konchady | | Paperback:
| 412 pages | | Publisher:
| Charles River Media | | Publication Date:
| May 04, 2006 | | Language:
| English | | ISBN:
| 1584504609 | | Product Length:
| 9.2 inches | | Product Width:
| 7.38 inches | | Product Height:
| 1.05 inches | | Product Weight:
| 1.91 pounds | | Package Length:
| 9.0 inches | | Package Width:
| 7.3 inches | | Package Height:
| 1.1 inches | | Package Weight:
| 1.85 pounds | | Average Customer Rating:
|  based on 7 reviews |
| | | | Customer Reviews: | |
Average Customer Review:
 ( 7 customer reviews )
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Most Helpful Customer Reviews
9 of 10 found the following review helpful:
 Good book to bootstrap yourself into Text MiningMay 03, 2008
By Sujit Pal
"Sujit Pal"
I am a Java web/search programmer who wanted to "get into" text mining. I found this book an excellent resource for this. Text Mining is a field in which active research is still going on, and other Text Mining books I have looked at reflect this - the authors expect you to have a certain degree of mathematical background to understand what they are saying. This book explains briefly the math behind each of the approaches, but it focuses more on the algorithms that result from the math, so it is easier to read.
Of course, a side effect of this is that the approaches described are not necessarily the state of the art for solving any given problem, but once you get the basic approach to solving a problem, it is relatively easy to find and understand the documentation on the web for the more advanced approaches, since you now know what you are looking for and how it differs from your basic solution.
The book does have a (fairly long) chapter where it covers the math background necessary to get started with Text Mining. If you understand the stuff in there, you will actually be able to think up solutions to text mining problems that are unique to your own situation.
The algorithms in the book are in pseudo-code, but the book comes with a CD (or download from the author's sourceforge project textmine.sf.net) where you can see working Perl code.
Overall, I think this is one of the most useful books that I have purchased in a while. It should appeal most to programmer types who have programmed in their language(s) of choice for a while in areas other than text mining, wants to get into text mining, and doesn't want to spend a lot of time relearning high school and college math before starting off.
2 of 2 found the following review helpful:
Excellent!Jul 04, 2008
By J. Carlson
This is a well written book, code is easy to download, and a number of topics. All in all though, the writing is clear and easily understood so it's well worth the money...
4 of 5 found the following review helpful:
 A Great SubjectMar 29, 2008
By C. Hivert
Text mining is one of the most exciting subjects of the web, and too few books are dealing with it. This one is one of them, and it gives quite a few examples of text mining applications, like spam filters or search engine ranking algorithms. The style is easy to follow, and the concepts easy to understand given some maths background.
However, I expected more details, and a richer content overall, thus the four stars. This is still a good book.
 Not a "complete solution to experiment with"Jun 30, 2011
By Alex
The book claims to "show step-by-step implementations of text mining solutions, and provides complete solutions for users to experiment with".
It is NOT. The CD ROM provided with the book would not install out of the box. Installation is painstaking and requires actual debugging of Perl and looking into Apache log for error messages. For example, access to the main page requires password and user name which are not mentioned anywhere in the book (for theose who wont to know the user is "fmuser" and password "fmpass"). CGI scripts will attempt to access directories it does not have access to. It will try to create files on the drive it was installed from (i.e. CD) and all kind of nonsense like that. After you go through all this hurdle you will find that even though there are CD signs beside some articles, there is no information which links the article with actual implementation.
It very much looks like the book was written by someone who haven't done any programming in years and software was written by a bunch of first year college students, who did not even care to install the whole package once to see how it works.
I would not recommend it for those who want to familiarize themselves with relatively new area of Text Mining and try to build a simple sample using provided libraries.
4 of 7 found the following review helpful:
An excellent guide to mining the NetJul 03, 2006
By Midwest Book Review
Software developers learn how to mine information on the Web and turn it into valuable data; but developers need to understand how data mining works. For a programmer's application-oriented review, Text Mining Application Programming is the item of choice: it reviews text data, how it's found, and how search engines locate and gather it. Next, it teaches how to build spiders to crawl the Web, how to use the information, and how to monitoring it. Perl developers will find its Perl-based code useful, but it's not necessary to know Perl to run the software herein. An excellent guide to mining the Net.
See all 7 customer reviews on Amazon.com
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