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Using web scraping and machine learning to study political polarization.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Data mining.
- Automatic data collection systems.
- Social sciences--Research--Data processing.
- Social sciences.
- Machine learning.
- Polarization (Social sciences)--Research--Methodology.
- Polarization (Social sciences).
- Physical Description:
- 1 online resource (1 video file (00:19:11)) : sound, colour
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in 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 process, typical roles for data scientists at the Pew Research Center, and his interest in computational social science.
- Participant:
- Speaker, Patrick van Kessel.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526499974
- OCLC:
- 1103507731
- Access Restriction:
- Restricted for use by site license.
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