Text mining : a guidebook for the social sciences / Gabe Ignatow, University of North Texas, Rada Mihalcea, University of Michigan.
Material type: TextPublisher: Los Angeles : SAGE, [2017]Copyright date: ©2017Description: xvi, 188 pages : illustrations ; 23 cmContent type:- text
- unmediated
- volume
- 148336934X
- 9781483369341
- 300.721 23
- H61.3 .I395 2017
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | North Campus North Campus Main Collection | 300.721 IGN (Browse shelf(Opens below)) | 1 | Available | A553618B |
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300.721 GIB Rediscovering grounded theory / | 300.721 HIL Essentials of consensual qualitative research / | 300.721 HOW How qualitative data analysis happens : moving beyond "themes emerged" / | 300.721 IGN Text mining : a guidebook for the social sciences / | 300.721 LAN The landscape of qualitative research / | 300.721 LAN The landscape of qualitative research / | 300.721 LAY Doing excellent small-scale research / |
Includes bibliographical references and index.
Part I: Digital Texts, Digital Social Science -- 1. Social Science and the Digital Text Revolution -- 2. Research Design Strategies -- Part II: Text Mining Fundamentals -- 3. Web Crawling and Scraping -- 4. Lexical Resources -- 5. Basic Text Processing -- 6. Supervised Learning -- Part III: Text Analysis Methods from the Humanities and Social Sciences -- 7. Thematic Analysis, QDAS, and Visualization -- 8. Narrative Analysis -- 9. Metaphor Analysis -- Part IV: Text Mining Methods from Computer Science -- 10. Word and Text Relatedness -- 11. Text Classification -- 12. Information Extraction -- 13. Information Retrieval -- 14. Sentiment Analysis -- 15. Topic Models -- Part V: Conclusions -- 16. Text Mining, Text Analysis, and the Future of Social Science.
"Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively." --Publisher's website.
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