Practical Text Mining with Perl
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.

1100682802
Practical Text Mining with Perl
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.

115.0 In Stock
Practical Text Mining with Perl

Practical Text Mining with Perl

by Roger Bilisoly
Practical Text Mining with Perl

Practical Text Mining with Perl

by Roger Bilisoly

eBook

$115.00 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers

LEND ME® See Details

Overview

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.


Product Details

ISBN-13: 9781118210505
Publisher: Wiley
Publication date: 09/20/2011
Series: Wiley Series on Methods and Applications in Data Mining , #2
Sold by: JOHN WILEY & SONS
Format: eBook
Pages: 320
File size: 11 MB
Note: This product may take a few minutes to download.
From the B&N Reads Blog

Customer Reviews