An approach to enhance topic modeling by using paratext and nonnegative matrix factorizations.
Marisol Flores-GarridoLuis Miguel García-VelázquezJulieta Arisbe López-VázquezPublished in: Digit. Scholarsh. Humanit. (2023)
Keyphrases
- topic modeling
- matrix factorization
- collaborative filtering
- nonnegative matrix factorization
- topic models
- tensor factorization
- factor matrices
- data matrix
- recommender systems
- negative matrix factorization
- low rank
- latent dirichlet allocation
- text mining
- text classification
- probabilistic latent semantic analysis
- missing data
- data representation
- objective function
- least squares
- latent topics
- latent variables
- generative model
- machine translation
- transfer learning
- probabilistic model
- bag of words