Practical Text Mining with Perl (Wiley Series on Methods and Applications in Data Mining) Review

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(More customer reviews)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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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.

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