Extracting Policy Positions from Political Texts Using Words as Data
نویسندگان
چکیده
منابع مشابه
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 policy positions of political parties in Britain and Ireland, on both economic and social policy dim...
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D eriving reliable and valid estimates of the policy positions of key actors is fundamental to the analysis of political competition. Various systematic methods have been used to do this, including surveys of voters, politicians, and political scientists, and the content analysis of policy documents. Each method has advantages and disadvantages but, for both theoretical and pragmatic reasons, p...
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Applying a coding scheme to discrete text units has long been the most common method for estimating substantive quantities of interest about the authors of these texts, whether for political, social, economic, or other substantive reasons. In political analysis, researchers typically build scales of policy positions from the relative frequencies of text units coded as left versus right policy c...
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Political text offers extraordinary potential as a source of information about the policy positions of political actors. Despite recent advances in computational text analysis, human interpretative coding of text remains an important source of text-based data, ultimately required to validate more automatic techniques. The profession’s main source of cross-national, time-series data on party pol...
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ژورنال
عنوان ژورنال: American Political Science Review
سال: 2003
ISSN: 0003-0554,1537-5943
DOI: 10.1017/s0003055403000698