Share
An Introduction to Text Mining
Research Design, Data Collection, and Analysis
- Gabe Ignatow - University of North Texas, USA
- Rada Mihalcea - University of Michigan, USA
October 2017 | 344 pages | SAGE Publications, Inc
Acknowledgments
Preface
Note to the Reader
About the Authors
PART I. FOUNDATIONS
Chapter 1. Text Mining and Text Analysis
Chapter 2. Acquiring Data
Chapter 3. Research Ethics
Chapter 4. The Philosophy and Logic of Text Mining
PART II. RESEARCH DESIGN AND BASIC TOOLS
Chapter 5. Designing Your Research Project
Chapter 6. Web Scraping and Crawling
PART III. TEXT MINING FUNDAMENTALS
Chapter 7. Lexical Resources
Chapter 8. Basic Text Processing
Chapter 9. Supervised Learning
PART IV. TEXT ANALYSIS METHODS FROM THE HUMANITIES AND SOCIAL SCIENCES
Chapter 10. Analyzing Narratives
Chapter 11. Analyzing Themes
Chapter 12. Analyzing Metaphors
PART V. TEXT MINING METHODS FROM COMPUTER SCIENCE
Chapter 13. Text Classification
Chapter 14. Opinion Mining
Chapter 15. Information Extraction
Chapter 16. Analyzing Topics
PART VI. WRITING AND REPORTING YOUR RESEARCH
Chapter 17. Writing and Reporting Your Research
Appendix A. Data Sources for Text Mining
Appendix B. Text Preparation and Cleaning Software
Appendix C. General Text Analysis Software
Appendix D. Qualitative Data Analysis Software
Appendix E. Opinion Mining Software
Appendix F. Concordance and Keyword Frequency Software
Appendix G. Visualization Software
Appendix H. List of Websites
Appendix I. Statistical Tools
Glossary
References
Index
Supplements
Instructor Teaching Site
Password-protected Instructor Resources include:
- Editable, chapter-specific Microsoft® PowerPoint® slides that offer you complete flexibility in easily creating a multimedia presentation for your course.
- Author-written assignments and activities, including accompanying data sets, can be used as in-class exercises, homework assignments, or exam questions.
Student Study Site
The open-access Student Study Site includes downloadable data sets selected by the authors for use with assignments and activities.
The open-access Student Study Site includes downloadable data sets selected by the authors for use with assignments and activities.
I was looking for a book in Text Mining geared towards undergraduates in computer science. This book does have several chapters that would be geared towards comp sci students, but it's not sufficient. However, the book would be more useful for the humanities to get an understanding of how to apply text mining along with a research-focused approach of the book, while learning some useful methods from computer science.
Arts and Science, Lawrence Technological Univ
June 17, 2018
Sample Materials & Chapters
Chapter 1: Text Mining and Text Analysis
Chapter 6: Web Scraping and Crawling