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 [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 Ig5Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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GC 006.31 M88 2019 Deep learning for dummies / | GC 006.31 T13 2021 Thinking machines : | GC 006.312 C81 2022 A programmer's guide to data mining / | GC 006.312 Ig5 2018 An introduction to text mining : | GC 006.312 J24 2021 Introduction to data mining and analytics with machine learning in R and Python / | GC 006.312 K84 2019 Data science : | GC 006.312 M92 2015 Automated data collection with R : |
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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