Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora.
Monica PuertoMason KellettRodanthi NikopoulouMark D. FugeRuth M. DohertyPeter W. ChungZois BoukouvalasPublished in: CoRR (2022)
Keyphrases
- prediction accuracy
- topic modeling
- trade off
- text corpora
- topic models
- text mining
- opinion mining
- improve the prediction accuracy
- predictive power
- latent dirichlet allocation
- ensemble methods
- text classification
- natural language processing
- text documents
- latent topics
- collaborative filtering
- co occurrence
- web page prediction
- probabilistic topic models
- databases
- information extraction
- generative model
- maximum likelihood
- knowledge base
- information retrieval
- machine learning