New metrics and tests for subject prevalence in documents based on topic modeling
From MaRDI portal
Publication:6114043
DOI10.1016/J.IJAR.2023.02.009MaRDI QIDQ6114043
Louisa Kontoghiorghes, Ana Colubi
Publication date: 11 July 2023
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
hypothesis testingtext mininghigh-dimensionalitybootstrappingBayesian and frequentist statisticstopic prevalence
Cites Work
- Fuzzy data treated as functional data: a one-way ANOVA test approach
- The varimax criterion for analytic rotation in factor analysis
- Consistency of variational Bayes inference for estimation and model selection in mixtures
- Time-dependent Poisson reduced rank models for political text data analysis
- Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters
- Optimization Methods for Large-Scale Machine Learning
- 10.1162/jmlr.2003.3.4-5.993
- Text mining in computational advertising
- Scalable Hyperparameter Selection for Latent Dirichlet Allocation
- A Scalable Bootstrap for Massive Data
- Frequentist Consistency of Variational Bayes
- Frequentist Accuracy of Bayesian Estimates
- Bayesians, Frequentists, and Scientists
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