Friends With Text as Data Benefits: Assessing and Extending the Use of Automated Text Analysis in Political Science and Political Psychology
作者: Martijn SchoonveldeGijs SchumacherBert N. BakkerInari Sakki
刊名: Journal of Social and Political Psychology, 2019, Vol.7 (1), pp.124-143
来源数据库: Leibniz Institute for Psychology Information
DOI: 10.5964/jspp.v7i1.964
关键词: Automated text analysisPolitical psychologyPolitical scienceText as dataLiterature review
原始语种摘要: Applications of automated text analysis measuring topics, ideology, sentiment or even personality are booming in fields like political science and political psychology. These developments are to be applauded as they bring about novel insights about politics using new sources of (unstructured) data. However, a divide exists between work in both disciplines using text as data. In this paper we argue in favor of more integration across disciplinary boundaries, structuring our case around four key issues in the research process: (i) sampling text; (ii) authorship as meta data; (iii) pre-processing text; (iv) analyzing text. Along the way we demonstrate that an assessment of speaker characteristics may crucially depend on the text sources under study, and that the use of sentiment words...
全文获取路径: 莱布尼茨心理学信息研究所 

  • political 政治
  • sentiment 感情
  • structuring 结构化
  • psychology 心理学
  • Analysis 分析
  • process 过程
  • review 复审
  • booming 激增
  • towards 朝向
  • analysis 分析