Topic Classification for Political Texts with Pretrained Language Models.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 662, doi. 10.1017/pan.2023.3
- By:
- Publication type:
- Article
Works matching IS 10471987 AND DT 2023 AND VI 31 AND IP 4
Results: 15
1
2
Recalibration of Predicted Probabilities Using the "Logit Shift": Why Does It Work, and When Can It Be Expected to Work Well?
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 651, doi. 10.1017/pan.2022.31
- By:
- Publication type:
- Article
3
Measuring Swing Voters with a Supervised Machine Learning Ensemble.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 537, doi. 10.1017/pan.2022.24
- By:
- Publication type:
- Article
4
Mapping Literature with Networks: An Application to Redistricting.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 669, doi. 10.1017/pan.2023.4
- By:
- Publication type:
- Article
5
PAN volume 31 issue 4 Cover and Front matter.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. f1, doi. 10.1017/pan.2022.37
- Publication type:
- Article
6
PAN volume 31 issue 4 Cover and Back matter.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. b1, doi. 10.1017/pan.2022.38
- Publication type:
- Article
7
Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 481, doi. 10.1017/pan.2023.7
- By:
- Publication type:
- Article
8
Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 519, doi. 10.1017/pan.2022.20
- By:
- Publication type:
- Article
9
Ends Against the Middle: Measuring Latent Traits when Opposites Respond the Same Way for Antithetical Reasons.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 606, doi. 10.1017/pan.2022.33
- By:
- Publication type:
- Article
10
When Correlation Is Not Enough: Validating Populism Scores from Supervised Machine-Learning Models.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 591, doi. 10.1017/pan.2022.32
- By:
- Publication type:
- Article
11
Acquiescence Bias Inflates Estimates of Conspiratorial Beliefs and Political Misperceptions.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 575, doi. 10.1017/pan.2022.28
- By:
- Publication type:
- Article
12
Bridging the Grade Gap: Reducing Assessment Bias in a Multi-Grader Class.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 642, doi. 10.1017/pan.2022.27
- By:
- Publication type:
- Article
13
Automated Coding of Political Campaign Advertisement Videos: An Empirical Validation Study.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 554, doi. 10.1017/pan.2022.26
- By:
- Publication type:
- Article
14
Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 626, doi. 10.1017/pan.2022.15
- By:
- Publication type:
- Article
15
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect.
- Published in:
- Political Analysis, 2023, v. 31, n. 4, p. 500, doi. 10.1017/pan.2022.16
- By:
- Publication type:
- Article