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Practical Text Mining with Perl, by Roger Bilisoly
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Provides readers with the methods, algorithms, and means to perform text mining tasks
This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.perl.org). It covers mining ideas from several perspectives--statistics, data mining, linguistics, and information retrieval--and provides readers with the means to successfully complete text mining tasks on their own.
The book begins with an introduction to regular expressions, a text pattern methodology, and quantitative text summaries, all of which are fundamental tools of analyzing text. Then, it builds upon this foundation to explore:
- Probability and texts, including the bag-of-words model
- Information retrieval techniques such as the TF-IDF similarity measure
- Concordance lines and corpus linguistics
- Multivariate techniques such as correlation, principal components analysis, and clustering
- Perl modules, German, and permutation tests
Each chapter is devoted to a single key topic, and the author carefully and thoughtfully introduces mathematical concepts as they arise, allowing readers to learn as they go without having to refer to additional books. The inclusion of numerous exercises and worked-out examples further complements the book's student-friendly format.
Practical Text Mining with Perl is ideal as a textbook for undergraduate and graduate courses in text mining and as a reference for a variety of professionals who are interested in extracting information from text documents.
- Sales Rank: #2179074 in Books
- Published on: 2008-08-18
- Original language: English
- Number of items: 1
- Dimensions: 10.12" h x 1.02" w x 7.26" l, 1.49 pounds
- Binding: Hardcover
- 320 pages
Review
"Practical Text Mining with Perl is an excellent book for readers at a variety of different programming skill levels … Bilisoly's book would serve as a good text for an introductory text mining course, and could be supplemented with lecture notes for Web mining or data mining courses." (Journal of Statistical Software, January 2009)
From the Back Cover
Provides readers with the methods, algorithms, and means to perform text mining tasks
This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.perl.org). It covers mining ideas from several perspectives—statistics, data mining, linguistics, and information retrieval—and provides readers with the means to successfully complete text mining tasks on their own.
The book begins with an introduction to regular expressions, a text pattern methodology, and quantitative text summaries, all of which are fundamental tools of analyzing text. Then, it builds upon this foundation to explore:
- Probability and texts, including the bag-of-words model
-
Information retrieval techniques such as the TF-IDF similarity measure
-
Concordance lines and corpus linguistics
-
Multivariate techniques such as correlation, principal components analysis, and clustering
-
Perl modules, German, and permutation tests
Each chapter is devoted to a single key topic, and the author carefully and thoughtfully introduces mathematical concepts as they arise, allowing readers to learn as they go without having to refer to additional books. The inclusion of numerous exercises and worked-out examples further complements the book's student-friendly format.
Practical Text Mining with Perl is ideal as a textbook for undergraduate and graduate courses in text mining and as a reference for a variety of professionals who are interested in extracting information from text documents.
About the Author
Roger Bilisoly, PhD, is an Associate Professor of Statistics at Central Connecticut State University, where he developed and teaches a new graduate-level course in text mining for the school's data mining program.
Most helpful customer reviews
0 of 0 people found the following review helpful.
This book combined with the "Text Mining: From Ontology ...
By efrankamo
This book combined with the "Text Mining: From Ontology Learning to Automated Text Processing Applications (Theory and Applications of Natural Language Processing)" really struck my interest in becoming more involved with this craft.
0 of 0 people found the following review helpful.
Has lots of good sample programs for learning the Perl language and applying ...
By Diverse Interests
Interesting and well written text. Has lots of good sample programs for learning the Perl language and applying it to text ,manipulation.
5 of 6 people found the following review helpful.
Excellent book with simple concise examples
By Philip D. Hickey
Not just one of the best Perl books I've ever read but one of the best programming books in general.
The author does an excellent job building up your Perl skill set from basic introduction to complex regexs.
The fact that all the examples are from the literary works of Edgar Allan Poe doesn't hurt either.
Very well written and makes an excellent reference book later on A++
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