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Textual Predictors of Bill Survival in Congressional Committees
11 references·15 citing·42 second hop
Textual Predictors of Bill Survival in Congressional Committees (2018)Textual Predictors of Bill Survival in Co…Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Text as Data: The Promise and…Predicting Legislative Roll Calls from Text (2011)Predicting Legislative Roll C…How to Analyze Political Attention with Minimal Assumptions and Costs (2009)How to Analyze Political Atte…A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases (2009)A Bayesian Hierarchical Topic…Lexical Cohesion Analysis of Political Speech (2008)Lexical Cohesion Analysis of …Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict (2008)Fightin' Words: Lexical Featu…Polarized America: the dance of ideology and unequal riches (2007)Polarized America: the dance …The Statistical Analysis of Roll Call Data (2004)The Statistical Analysis of R…Extracting Policy Positions from Political Texts Using Words as Data (2003)Extracting Policy Positions f…Patterns of Congressional Voting (1991)Patterns of Congressional Vot…A Spatial Model for Legislative Roll Call Analysis (1985)A Spatial Model for Legislati…Text as Actuator: Text-Driven Response Modeling and Prediction in Politics (2025)Text as Actuator: Text-Driven…Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts (2022)Modeling U.S. State-Level Pol…Modeling Language Usage and Listener Engagement in Podcasts (2021)Modeling Language Usage and L…LDAShiny: An R Package for Exploratory Review of Scientific Literature Based on a Bayesian Probabilistic Model and Machine Learning Tools (2021)LDAShiny: An R Package for Ex…A Penny for Your Tweets: Campaign Contributions and Capitol Hill Microblogs (2021)A Penny for Your Tweets: Camp…A competing risks model based on latent Dirichlet Allocation for predicting churn reasons (2021)A competing risks model based…Understanding the Language of Political Agreement and Disagreement in Legislative Texts (2020)Understanding the Language of…More Effective Than We Thought: Accounting for Legislative Hitchhikers Reveals a More Inclusive and Productive Lawmaking Process (2019)More Effective Than We Though…Reading China: Predicting Policy Change with Machine Learning (2018)Reading China: Predicting Pol…Predicting the Vote Using Legislative Speech (2018)Predicting the Vote Using Leg…predicting the vote using legislative speech (2018)predicting the vote using leg…How Predictable is Your State? 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(1984)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Mapping the Ideological Marketplace (2013)Computational Grounded Theory: A Methodological Framework (2017)Content Analysis: An Introduction to Its Methodology (2019)The Content Analysis Guidebook (2017)stm : An R Package for Structural Topic Models (2019)Text as Data (2019)Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithm (1981)Structural Equations with Latent Variables. (1991)Congress: A Political-Economic History of Roll Call Voting (2000)Are Political Orientations Genetically Transmitted? 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References

  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2007Polarized America: the dance of ideology and unequal riches1,794 cited
  • 2003Extracting Policy Positions from Political Texts Using Words as Data1,377 cited
  • 2004The Statistical Analysis of Roll Call Data1,153 cited
  • 1985A Spatial Model for Legislative Roll Call Analysis1,003 cited
  • 1991Patterns of Congressional Voting777 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
  • 2008Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict539 cited
  • 2011Predicting Legislative Roll Calls from Text144 cited
  • 2008Lexical Cohesion Analysis of Political Speech75 cited

Cited by

  • 2019More Effective Than We Thought: Accounting for Legislative Hitchhikers Reveals a More Inclusive and Productive Lawmaking Process61 cited
  • 2021LDAShiny: An R Package for Exploratory Review of Scientific Literature Based on a Bayesian Probabilistic Model and Machine Learning Tools44 cited
  • 2021A competing risks model based on latent Dirichlet Allocation for predicting churn reasons

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40 cited
  • 2015Predicting Merger Targets and Acquirers from Text34 cited
  • 2017Predicting and understanding law-making with word vectors and an ensemble model30 cited
  • 2018Reading China: Predicting Policy Change with Machine Learning19 cited
  • 2020Understanding the Language of Political Agreement and Disagreement in Legislative Texts16 cited
  • 2016Re-imagining the Cambridge School in the Age of Digital Humanities16 cited
  • 2021Modeling Language Usage and Listener Engagement in Podcasts14 cited
  • 2021A Penny for Your Tweets: Campaign Contributions and Capitol Hill Microblogs11 cited
  • 2018predicting the vote using legislative speech11 cited
  • 2018How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level6 cited
  • 2022Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts4 cited
  • 2018Predicting the Vote Using Legislative Speech3 cited
  • 2025Text as Actuator: Text-Driven Response Modeling and Prediction in Politics1 cited