Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech

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At the Becker Friedman Institute's 2016 conference on machine learning, Matthew Gentzkow of Stanford University explains methods used to analyze high-dimensional text in a study of polarization in Congressional speech.
  1. Becker Friedman Institute University of Chicago
  2. Becker Friedman Institute
  3. University of Chicago
  4. political polarization
  5. partisan speech
  6. automated text analysis
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