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Troubles in Text: Using Natural Language Processing to Recognize Government Rationalizations for Rights Abuses
9 references·0 citing·42 second hopsampled
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References

  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2013How Censorship in China Allows Government Criticism but Silences Collective Expression2,410 cited
  • 2014Structural Topic Models for Open‐Ended Survey Responses1,967 cited
  • 2017Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It466 cited
  • 2020Automated Text Classification of News Articles: A Practical Guide157 cited
  • 2008Introduction to the Special Issue: The Statistical Analysis of Political Text99 cited
  • 2019Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study96 cited
  • 2015Democratization and Linguistic Complexity: The Effect of Franchise Extension on Parliamentary Discourse, 1832–191569 cited
  • 2019Understanding Delegation Through Machine Learning: A Method and Application to the European Union34 cited

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