Text mining for social scientists.

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 fi...

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Bibliographic Details
Other Authors:	Goldes, Susannah (Speaker), Ignatow, Gabe (Academic.), Mihalcea, Rada, 1974- (Academic.)
Format:	Video
Language:	English
Language Notes:	Closed-captions in English.
Published:	London : SAGE Publications Ltd, 2018.
Subjects:	Social sciences > Research > Methodology. Discourse analysis > Data processing. Communication > Network analsysis. Natural language processing (Computer science) Data mining. Natural Language Processing Data Mining Sciences sociales > Recherche > Méthodologie. Traitement automatique des langues naturelles. Exploration de données (Informatique) Data mining Discourse analysis > Data processing Social sciences > Research > Methodology
Online Access:	Connect to this streaming video

Description
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, 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.
Physical Description:	1 online resource (1 video file (00:53:08)) : sound, colour
ISBN:	9781526498618 1526498618