An introduction to text mining : research design, data collection, and analysis / Gabe Ignatow, University of North Texas, Rada Mihalcea, University of Michigan.
Publisher: Los Angeles : SAGE, [2018]Copyright date: c2018Description: xxiv, 320 pages ; 24 cmContent type:- text
- unmediated
- volume
- 9781506337005 (acidfree paper)
- 006.312 .Ig24 2018
- QA76.9.D343 I425 2018
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Print Materials | Main Library General Circulation | Non-fiction | 006.312 .Ig24 2018 (Browse shelf(Opens below)) | Available | 0122371 |
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005.7565 .M745 2016 c.2 Problem solving cases in Microsoft Access & Excel / | 006.3 .Ar791 2019 Artificial intelligence / | 006.3 .In61 2017 ICAI 2017 : | 006.312 .Ig24 2018 An introduction to text mining : | 006.6 .T531 2019 Core concepts in computer science: | 006.686 .Ob12 2019 Photoshop Elements 2019 for dummies / | 006.68602477 .Sy985 2019 Adobe photoshop lightroom classic for dummies / |
Includes bibliographical references (pages 289-306) and index.
"Gabe Ignatow and Rada Mihalcea's An Introduction to Test Mining provides a foundation for readers seeking a solid introduction to mining text data. 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." --Provided by publisher
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