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Text mining for social scientists.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Social sciences--Research--Methodology.
- Social sciences.
- Discourse analysis--Data processing.
- Discourse analysis.
- Communication--Network analsysis.
- Communication.
- Natural language processing (Computer science).
- Data mining.
- Physical Description:
- 1 online resource (1 video file (00:53:08)) : sound, colour
- Place of Publication:
- London : SAGE Publications Ltd, 2018.
- Language Note:
- Closed-captions in 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, 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.
- Participant:
- Speaker, Susannah Goldes.
- Academic, Gabe Ignatow PhD.
- Academic, Rada Mihalcea PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526498618
- OCLC:
- 1103475105
- Access Restriction:
- Restricted for use by site license.
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