GPU-Accelerated Non-negative Matrix Factorization for Text Mining.
Volodymyr KysenkoKarl RuppOleksandr MarchenkoSiegfried SelberherrAnatoly AnisimovPublished in: NLDB (2012)
Keyphrases
- negative matrix factorization
- gpu accelerated
- text mining
- document clustering
- nonnegative matrix factorization
- finite element
- real time
- text documents
- text classification
- matrix factorization
- information extraction
- principal component analysis
- natural language processing
- spectral clustering
- sparse representation
- named entities
- knowledge discovery
- information retrieval
- machine learning
- data mining
- data analysis
- pattern recognition
- topic models
- information retrieval systems
- sequence alignment
- keywords
- tensor factorization
- similarity measure
- latent semantic space