An Introduction to Text Mining
eBook - ePub

An Introduction to Text Mining

Research Design, Data Collection, and Analysis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

An Introduction to Text Mining

Research Design, Data Collection, and Analysis

About this book

This is the ideal introduction for students seeking to collect and analyze textual data from online sources. It covers the most critical issues that they must take into consideration at all stages of their research projects.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access An Introduction to Text Mining by Gabe Ignatow,Rada Mihalcea in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Acknowledgments
  9. Preface
  10. Note to the Reader
  11. About the Authors
  12. Part I Foundations
  13. 1 Text Mining and Text Analysis
  14. 2 Acquiring Data
  15. 3 Research Ethics
  16. 4 The Philosophy and Logic of Text Mining
  17. Part II Research Design and Basic Tools
  18. 5 Designing Your Research Project
  19. 6 Web Scraping and Crawling
  20. Part III Text Mining Fundamentals
  21. 7 Lexical Resources
  22. 8 Basic Text Processing
  23. 9 Supervised Learning
  24. Part IV Text Analysis Methods From the Humanities and Social Sciences
  25. 10 Analyzing Narratives
  26. 11 Analyzing Themes
  27. 12 Analyzing Metaphors
  28. Part V Text Mining Methods From Computer Science
  29. 13 Text Classification
  30. 14 Opinion Mining
  31. 15 Information Extraction
  32. 16 Analyzing Topics
  33. Part VI Writing and Reporting Your Research
  34. 17 Writing and Reporting Your Research
  35. Appendix A Data Sources for Text Mining
  36. Appendix B Text Preparation and Cleaning Software
  37. Appendix C General Text Analysis Software
  38. Appendix D Qualitative Data Analysis Software
  39. Appendix E Opinion Mining Software
  40. Appendix F Concordance and Keyword Frequency Software
  41. Appendix G Visualization Software
  42. Appendix H List of Websites
  43. Appendix I Statistical Tools
  44. Glossary
  45. References
  46. Index