Extracting policy positions from political texts using words as data
We present a new way of extracting policy positions from political texts that treats texts not as discourses to be understood and interpreted but rather, as data in the form of words. We compare this approach to previous methods of text analysis and use it to replicate published estimates of the pol...
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Main Authors: | LAVER, Michael, BENOIT, Kenneth, GARRY, John |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2003
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Online Access: | https://ink.library.smu.edu.sg/soss_research/3971 https://ink.library.smu.edu.sg/context/soss_research/article/5229/viewcontent/WordsAsData_pv.pdf |
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Institution: | Singapore Management University |
Language: | English |
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