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Text mining for social scientists.

Author: Susannah Goldes; Gabe Ignatow; Rada Mihalcea
Publisher: London : SAGE Publications Ltd, 2018.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
Gabe Ignatow, PhD, Associate Professor of Sociology at the University of North Texas, and Rada Mihalcea, PhD, Professor of Computer Science and Engineering at the University of Michigan, discuss text mining and hypothesis testing in the social sciences, including their respective interests in the field; research design based on deduction, induction, and abduction; current methods of text mining including,  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Susannah Goldes; Gabe Ignatow; Rada Mihalcea
ISBN: 9781526498618 1526498618
OCLC Number: 1103475105
Language Note: Closed-captions in English.
Performer(s): Speaker, Susannah Goldes.
Academic, Gabe Ignatow PhD.
Academic, Rada Mihalcea PhD.
Description: 1 online resource (1 video file (00:53:08)) : sound, colour

Abstract:

Gabe Ignatow, PhD, Associate Professor of Sociology at the University of North Texas, and Rada Mihalcea, PhD, Professor of Computer Science and Engineering at the University of Michigan, discuss text mining and hypothesis testing in the social sciences, including their respective interests in the field; research design based on deduction, induction, and abduction; current methods of text mining including, pre-processing, lexical resources, and text classification; cutting-edge research; research and teaching tips; and ending with a Q&A covering ethical considerations, the use of AI, recommended tools and software, gender identification, and application of text mining across disciplines.

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