Text mining : a guidebook for the social sciences / Gabe Ignatow, University of North Texas ; Rada Mihalcea, University of Michigan.
"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 meth...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Los Angeles :
SAGE,
[2017]
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| Subjects: | |
| Online Access: | SAGE |
| Summary: | "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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| Physical Description: | 1 online resource (xvi, 188 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1544365314 9781544365312 148336934X 9781483369341 |