BProvides readers with the methods, algorithms, and means to perform text mining tasks/b 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:ulliProbability and texts, including the bag-of-words modelliInformation retrieval techniques such as the TF-IDF similarity measureliConcordance lines and corpus linguisticsliMultivariate techniques such as correlation, principal components analysis, and clusteringliPerl modules, German, and permutation tests/ul 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. iPractical Text Mining with Perl/i 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.