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An introduction to text mining : research design, data collection, and analysis / Gabe Ignatow, University of North Texas, Rada Mihalcea, University of Michigan.

By: Ignatow, Gabe [author.].
Contributor(s): Mihalcea, Rada, 1974- [author.].
Publisher: Los Angeles, California, USA : SAGE Publications, Inc., , 2018Description: xxiv, 320 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781506337005 (acidfree paper).Subject(s): Data mining | Social sciences -- ResearchDDC classification: 006.312 Ig5
Contents:
About the authors Foundations Text mining and text analysis Acquiring data Research ethics The philosophy and logic of text mining Research design and basic tools Designing your research project Web scraping and crawling Text mining fundamentals Lexical resources Basic text processing Supervised learning Text analysis methods from the humanities and social sciences Analyzing narratives Analyzing themes Analyzing metaphors Text mining methods from computer science Text classification Opinion mining Information extraction Analyzing topics Writing and reporting your research 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
Summary: The book covers the most critical issues that must be taken into consideration for research projects, including web scraping and crawling, strategic data selection, data sampling, use of specific text analysis methods, and report writing. In addition to covering technical aspects of various approaches to contemporary text mining and analysis, the book covers ethical and philosophical dimensions of text-based research and social science research design
Item type Current location Collection Call number Status Date due Barcode
Books Books College Library
General Circulation Section
GC GC 006.312 Ig5 2018 (Browse shelf) Available HNU003091

Includes bibliographical references and index.

About the authors
Foundations
Text mining and text analysis
Acquiring data
Research ethics
The philosophy and logic of text mining
Research design and basic tools
Designing your research project
Web scraping and crawling
Text mining fundamentals
Lexical resources
Basic text processing
Supervised learning
Text analysis methods from the humanities and social sciences
Analyzing narratives
Analyzing themes
Analyzing metaphors
Text mining methods from computer science
Text classification
Opinion mining
Information extraction
Analyzing topics
Writing and reporting your research
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

The book covers the most critical issues that must be taken into consideration for research projects, including web scraping and crawling, strategic data selection, data sampling, use of specific text analysis methods, and report writing. In addition to covering technical aspects of various approaches to contemporary text mining and analysis, the book covers ethical and philosophical dimensions of text-based research and social science research design

College of Education Bachelor of Secondary Education major in Mathematics

College of Education Bachelor of Secondary Education major in Social Studies

College of Engineering and Computer Studies Bachelor of Science in Computer Science

College of Engineering and Computer Studies Bachelor of Science in Information Technology

Text in English

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