Using web scraping and machine learning to study political polarization.

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 sci...

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Bibliographic Details
Other Authors:	van Kessel, Patrick (Speaker)
Format:	Video
Language:	English
Language Notes:	Closed-captions in English.
Published:	London : SAGE Publications Ltd, 2019.
Subjects:	Data mining. Automatic data collection systems. Social sciences > Research > Data processing. Machine learning. Polarization (Social sciences) > Research > Methodology. Data Mining Machine Learning Exploration de données (Informatique) Collecte automatique des données. Sciences sociales > Recherche > Informatique. Apprentissage automatique. Polarisation collective > Recherche > Méthodologie. Automatic data collection systems Data mining Machine learning Social sciences > Research > Data processing
Online Access:	Connect to this streaming video

Description
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 process, typical roles for data scientists at the Pew Research Center, and his interest in computational social science.
Physical Description:	1 online resource (1 video file (00:19:11)) : sound, colour
ISBN:	9781526499974 1526499975