E-raamat: Practical Text Mining with Perl

Bilisoly (Central Connecticut State U.) has written this introductory guide to text mining through the use of Perl, an open-source programming tool that can be downloaded from online sources at no cost to the user. By covering such basics as regular expressions, text pattern methodology and quantitative text summaries, the author provides a tutorial to efficient and thorough text mining applications, including the bags-of-words model, TF-IDF similarity measure, concordance lines and corpus linguistics. Designed primarily for text mining students and professionals who wish to enhance their information access, this book also explores the use of multivariate techniques such as correlation, principal components analysis and clustering. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

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.