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Neural Transfer Learning with Transformers for Social Science Text Analysis.
16 references·0 citing·50 second hop
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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2018quanteda: An R package for the quantitative analysis of textual data1,342 cited
  • 2014Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data1,148 cited
  • 2019The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings675 cited
  • 2017Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It466 cited
  • 2017Text Analysis in R284 cited
  • 2016A Bad Workman Blames His Tweets: The Consequences of Citizens' Uncivil Twitter Use When Interacting With Party Candidates237 cited
  • 2020Political Advertising Online and Offline232 cited
  • 2011Language and Ideology in Congress169 cited
  • 2019Word Embeddings for the Analysis of Ideological Placement in Parliamentary Corpora166 cited
  • 2020Automated Text Classification of News Articles: A Practical Guide157 cited
  • 2020Latent Semantic Scaling: A Semisupervised Text Analysis Technique for New Domains and Languages124 cited
  • 2019A Timely Intervention: Tracking the Changing Meanings of Political Concepts with Word Vectors

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111 cited
  • 2016Measuring Elite Personality Using Speech83 cited
  • 2019Using Word Order in Political Text Classification with Long Short-term Memory Models38 cited
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