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

DOI10.1016/j.csda.2019.106813OpenAlexW2963917534WikidataQ127450522 ScholiaQ127450522MaRDI QIDQ2008098

Carsten Jentsch, Enno Mammen, Eun Ryung Lee

Publication date: 22 November 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2019.106813

zbMATH Keywords

penalizationdimension reductioncount datahigh-dimensional dataLassofused LassoINAR time series modelsparty manifestospolitical lexiconpolitical spectrumterm document matricestext datawordfish

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Natural language processing (68T50) Linguistics (91F20)

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Poisson reduced-rank models with sparse loadings ⋮ New metrics and tests for subject prevalence in documents based on topic modeling

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