Practical Text Mining with Perl
Wiley Series on Methods and Applications
1. Auflage September 2008
320 Seiten, Hardcover
Wiley & Sons Ltd
Kurzbeschreibung
As a discipline, text mining is relatively young in the larger field of data mining, but is expected to become more prevalent as methodology matures and as computing power increases. This book covers text mining ideas from several perspectives-statistics, data mining, linguistics, and information retrieval-and shows readers how to actually perform text mining tasks using Perl. End-of-chapter exercises and an extensive case study are also included. The book is appropriate for data mining analysts, computational biologists, software engineers, students, and anyone interested in extracting information from text documents.
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.
List of Tables.
Preface.
Acknowledgments.
1. Introduction.
2. Text Patterns.
3. Quantitative Text Summaries.
4. Probability and Text Sampling.
5. Applying Information Retrieval to Text Mining.
6. Concordance Lines and Corpus Linguistics.
7. Multivariate Techniques with Text.
8. Text Clustering.
9. A Sample of Additional Topics.
Appendix A. Overview of Perl for Text Mining.
Appendix B. Summary of R used in this Book.
References.
Index.
