Concise comparative summaries (CCS) of large text corpora with a human experiment

DOI10.1214/13-AOAS698zbMath1454.62540arXiv1404.7362OpenAlexW2091172738MaRDI QIDQ2453687

Yanyan Li

Publication date: 10 June 2014

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

Full work available at URL: https://arxiv.org/abs/1404.7362

zbMATH Keywords

Lassotext summarizationsparse modelingco-occurrencehigh-dimensional analysisL1 regularized logistic regressionL2 normalizationtf-idf

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics (62P99)

Related Items (2)

Unnamed Item ⋮ Conducting sparse feature selection on arbitrarily long phrases in text corpora with a focus on interpretability

Cites Work

• Applied Bayesian and classical inference. The case of the Federalist papers. 2nd ed. of: Inference and disputed authorship: The Federalist
• 10.1162/jmlr.2003.3.4-5.993
• 10.1162/153244303322753670
• Safe Feature Elimination in Sparse Supervised Learning
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