2010
NeurIPS
NeurIPS 2010
Deterministic Single-Pass Algorithm for LDA
Abstract
We develop a deterministic single-pass algorithm for latent Dirichlet allocation (LDA) in order to process received documents one at a time and then discard them in an excess text stream. Our algorithm does not need to store old statistics for all data. The proposed algorithm is much faster than a batch algorithm and is comparable to the batch algorithm in terms of perplexity in experiments.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
📈
Trend Setter
- Stochastic Methods
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Keyword Pioneer
- streaming inference
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Hot Topic Early Bird
- topic modeling
Authors
Topics
Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling
Machine Learning > Core Methods > Clustering
Machine Learning > Optimization & Theory > Bayesian Inference
Natural Language Processing > Generation > Language Modeling
Natural Language Processing > Applications > Text Classification
Machine Learning > Bayesian & Probabilistic > Probabilistic Modeling
Machine Learning > Learning Types > Online Learning
Deep Learning > Optimization & Theory > Stochastic Methods
Machine Learning > Core Methods > Topic Modeling
Natural Language Processing > Applications > Topic Modeling