Model trees with topic model preprocessing: an approach for data journalism illustrated with the WikiLeaks Afghanistan war logs

DOI10.1214/12-AOAS618zbMath1288.62200arXiv1312.1548OpenAlexW2087558526WikidataQ57066595 ScholiaQ57066595MaRDI QIDQ2443126

Paul Hofmarcher, Thomas Rusch, Reinhold Hatzinger, Kurt Hornik

Publication date: 4 April 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.1548

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Applications of statistics (62P99) History, political science (91F10)

Related Items (1)

Model trees with topic model preprocessing: an approach for data journalism illustrated with the WikiLeaks Afghanistan war logs

Uses Software

• R
• MASS (R)
• topicmodels
• mobtools
• Beanplot
• AER
• VCD

Cites Work

• Unnamed Item
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• Visualizing categorical data in ViSta
• Regression trees for analysis of count data with extra Poisson variation
• Improving the precision of classification trees
• A correlated topic model of science
• Cluster-wise assessment of cluster stability
• Model trees with topic model preprocessing: an approach for data journalism illustrated with the WikiLeaks Afghanistan war logs
• Statistical Analysis of Financial Data in S-Plus
• Generalized M‐fluctuation tests for parameter instability
• Negative binomial and mixed poisson regression
• 10.1162/jmlr.2003.3.4-5.993

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