Practical Text Mining with Perl (eBook)

Roger Bilisoly (Autor)

eBook Download: PDF

2008 | 1. Auflage
320 Seiten
John Wiley & Sons (Verlag)
9780470382851 (ISBN)

Infos

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.

Autor

Roger Bilisoly, PhD, is an Assistant Professor of Statistics at Central Connecticut State University, where he developed and teaches a new graduate-level course in text mining for the school's data mining program.

Inhalt

List of Figures.

List of Tables.

Preface.

Acknowledgments.

1. Introduction.

1.1 Overview of this Book.

1.2 Text Mining and Related Fields.

1.3 Advice for Reading this Book.

2. Text Patterns.

2.1 Introduction.

2.2 Regular Expressions.

2.3 Finding Words in a Text.

2.4 Decomposing Poe's "The Tell-Tale Heart" into Words.

2.5 A Simple Concordance.

2.6 First Attempt at Extracting Sentences.

2.7 Regex Odds and Ends.

2.8 References.

3. Quantitative Text Summaries.

3.1 Introduction.

3.2 Scalars, Interpolation, and Context in Perl.

3.3 Arrays and Context in Perl.

3.4 Word Lengths in Poe's "The Tell-Tale Heart".

3.5 Arrays and Functions.

3.6 Hashes.

3.7 Two Text Applications.

3.8 Complex Data Structures.

3.9 References.

3.10 First Transition.

4. Probability and Text Sampling.

4.1 Introduction.

4.2 Probability.

4.3 Conditioned Probability.

4.4 Mean and Variance of random Variables.

4.5 The Bag-of-Words Model for Poe's :The Black Cat".

4.6 The Effect of Sample Size.

4.7 References.

5. Applying Information Retrieval to Text Mining.

5.1 Introduction.

5.2 Counting Letters and Words.

5.3 Text Counts and Vectors.

5.4 The Term-Document Matrix Applied to Poe.

5.5 Matrix Multiplication.

5.6 Functions of Counts.

5.7 Document Similarity.

5.8 References.

6. Concordance Lines and Corpus Linguistics.

6.1 Introduction.

6.2 Sampling.

6.3 Corpus as Baseline.

6.4 Concordancing.

6.5 Collocations and Concordance Lines.

6.6 Applications with References.

6.7 Second Transition.

7. Multivariate Techniques with Text.

7.1 Introduction.

7.2 Basic Statistics.

7.3 Basic Linear Algebra.

7.4 Principal Component Matrices.

7.5 Text Applications.

7.6 Applications and References.

8. Text Clustering.

8.1 Introduction.

8.2 Clustering.

8.3 A Note on Classification.

8.4 References.

8.5 Last Transition.

9. A Sample of Additional Topics.

9.1 Introduction.

9.2 Perl Modules.

9.3 Other Languages: Analyzing Goethe in German.

9.4 Permutation Tests.

9.5 References.

Appendix A. Overview of Perl for Text Mining.

A.1 Basic Data Structures.

A.2 Operators.

A.3 Branching and Looping.

A.4 A Few Functions.

A.5 Introduction to Regular Expressions.

Appendix B. Summary of R used in this Book

B.1 Basics of R.

B.2 This Book's R Code..

References.

Index.

Rezensionen

"Practical Text Mining with Perl is an excellent book for readers at a variety of different programming skill levels ... Bilisoly's book would serve as a good text for an introductory text mining course, and could be supplemented with lecture notes for Web mining or data mining courses." (Journal of Statistical Software, January 2009)

Produkt-Details

• Erscheint lt. Verlag: 26.9.2008
• Reihe/Serie: Wiley Series on Methods and Applications
• Reihe/Serie: Wiley Series on Methods and Applications
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Schlagworte: Bioinformatics & Computational Biology • Bioinformatik u. Computersimulationen in der Biowissenschaften • Biowissenschaften • Computer Science • Database & Data Warehousing Technologies • Data Mining • Data Mining Statistics • Datenbanken u. Data Warehousing • Informatik • Life Sciences • Perl (EDV) • Statistics • Statistik
• ISBN-13: 9780470382851 / 9780470382851