References

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• 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
• 2010Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment2,649 cited
• 2016tidytext: Text Mining and Analysis Using Tidy Data Principles in R947 cited
• 2017Computational Grounded Theory: A Methodological Framework702 cited
• 2008A Scaling Model for Estimating Time‐Series Party Positions from Texts684 cited
• 2009How to Analyze Political Attention with Minimal Assumptions and Costs670 cited
• 2009A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases552 cited
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• 2021Machine Learning for Social Science: An Agnostic Approach324 cited
• 2017Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges300 cited
• 2020Text Analysis for the Social Sciences299 cited
• 2021Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research249 cited
• 2011Language and Ideology in Congress169 cited
• 2019Word Embeddings for the Analysis of Ideological Placement in Parliamentary Corpora