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Time-dependent Poisson reduced rank models for political text data analysis · Study

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ArticleTime-dependent Poisson reduced rank models for political text data analysis

Carsten Jentsch2019

Article2019

Time-dependent Poisson reduced rank models for political text data analysis

Carsten Jentsch · Eun Ryung Lee · Enno Mammen

7 citations·0/0 files stored·Computational Statistics & Data Analysis

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Computational and Text Analysis Methods Statistical Methods and Applications Statistical Methods and Inference

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References

2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 2014Structural Topic Models for Open‐Ended Survey Responses 2003Extracting Policy Positions from Political Texts Using Words as Data 2019Text as Data 2016A Model of Text for Experimentation in the Social Sciences 2014Respect for Human Rights has Improved Over Time: Modeling the Changing Standard of Accountability 2008A Scaling Model for Estimating Time‐Series Party Positions from Texts 2009How to Analyze Political Attention with Minimal Assumptions and Costs

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2022Cross-Corpora Comparisons of Topics and Topic Trends 2023New metrics and tests for subject prevalence in documents based on topic modeling 2025Computational measurement of political positions: a review of text-based ideal point estimation algorithms

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Year2019

Typearticle

Published2019-07-22

VenueComputational Statistics & Data Analysis

ISSN-L0167-9473

Languageen

Citations7

Files0 public / 0

ShelfComputational and Text Analysis Methods

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doi10.1016/j.csda.2019.106813

openalex_workW2963917534

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