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Text mining : a guidebook for the social sciences

Author: Gabe Ignatow; Rada Mihalcea
Publisher: Los Angeles : SAGE, [2017]
Edition/Format:   Print book : EnglishView all editions and formats
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  Read more...
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Document Type: Book
All Authors / Contributors: Gabe Ignatow; Rada Mihalcea
ISBN: 9781483369341 148336934X
OCLC Number: 933765455
Description: xvi, 188 pages : illustrations ; 23 cm
Contents: Social science and the digital text revolution --
Research design strategies --
Web crawling and scraping --
Lexical resources --
Basic text processing --
Supervised learning --
Thematic analysis, qualitative data analysis software, and visualization --
Narrative analysis --
Metaphor analysis --
Word and text relatedness --
Text classification --
Information extraction --
Information retrieval --
Sentiment analysis --
Topic models --
Text mining, text analysis, and the future of social science.
Responsibility: Gabe Ignatow, University of North Texas ; Rada Mihalcea, University of Michigan.

Abstract:

This practical book provides researchers strategic and practical guidance on using text mining methods to analyze large text collections more efficiently and productively.  Read more...

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This is a clear, comprehensive and thorough description of new text mining techniques and their applications: a "must" for students and social researchers who wish to understand how to tackle the Read more...

 
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