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Using web scraping and machine learning to study political polarization.

Author: Patrick van Kessel
Publisher: London : SAGE Publications Ltd, 2019.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
Patrick van Kessel, Senior Data Scientist, Data Labs at Pew Research Center, discusses the use of web scraping and machine learning to study political polarization, including the difference between survey data and organic data, recent research projects and the use of machine learning, how social scientists and data scientists collaborate at the Pew Research Center, the outcome of building a new machine-learning  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: Patrick van Kessel
ISBN: 9781526499974 1526499975
OCLC Number: 1103507731
Language Note: Closed-captions in English.
Performer(s): Speaker, Patrick van Kessel.
Description: 1 online resource (1 video file (00:19:11)) : sound, colour

Abstract:

Patrick van Kessel, Senior Data Scientist, Data Labs at Pew Research Center, discusses the use of web scraping and machine learning to study political polarization, including the difference between survey data and organic data, recent research projects and the use of machine learning, how social scientists and data scientists collaborate at the Pew Research Center, the outcome of building a new machine-learning process, typical roles for data scientists at the Pew Research Center, and his interest in computational social science.

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