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Developing a method to code text using crowdsourcing.

Ken Benoit, PhD, Professor at the London School of Economics in the Department of Methodology, discusses his research on whether crowdsourced, untrained, anonymous coders could replace highly-trained experts in analyzing text. The accuracy of the approach, challenges, advantages, parameters consider...

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Bibliographic Details
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: London : SAGE Publications Ltd, 2019.
Subjects:
Crowdsourcing > Research.
Research > Methodology.
Big data.
Text processing (Computer science)
Word processing operations.
Word processing.
Externalisation ouverte > Recherche.
Recherche > Méthodologie.
Données volumineuses.
Traitement de texte.
Word processing operations
Word processing
Big data
Research > Methodology
Online Access:Connect to this streaming video
Description
Summary:Ken Benoit, PhD, Professor at the London School of Economics in the Department of Methodology, discusses his research on whether crowdsourced, untrained, anonymous coders could replace highly-trained experts in analyzing text. The accuracy of the approach, challenges, advantages, parameters considered, and the future of big data in analyzing text are all considered.
Physical Description:1 online resource (1 video file (00:11:45)) : sound, colour
ISBN:9781526491879
1526491877