Text mining : a guidebook for the social sciences
Gabe Ignatow, University of North Texas, Rada Mihalcea, University of Michigan.
Thousand Oaks, California : SAGE Publications, Inc., [2017]
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
Physical items: 1, Online items: 0
Availability
Online Resources
At the libraryRequest via Interlibrary Loan
| Location | Call number | Status |
|---|---|---|
| English Book (4/F) | 300.721 IGA 2017 | Available |
| Location | Call number | Status |
|---|---|---|
| barcode, location, bookplate, id LOCATION | callnoa callnob | -- |
Bibliographic Information
- Format:
-
Book
- Subject:
- Social sciences > Research > Methodology.
- Discourse analysis > Data processing.
- Communication > Network analsysis.
- Natural language processing (Computer science)
- Data mining.
- Language:
- English
- ISBN:
- 9781483369341, 148336934
- Course:
- FINT300
Big data analysis - Bibliography:
- Includes bibliographical references (pages 168-182) and index.
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