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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Bibliographic Details
Main Authors: LAVER, Michael, BENOIT, Kenneth, GARRY, John
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2003
Subjects:
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