Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification.
Catarina SilvaBernardete RibeiroPublished in: IDEAL (2009)
Keyphrases
- knowledge extraction
- negative matrix factorization
- text classification
- document clustering
- matrix factorization
- nonnegative matrix factorization
- text mining
- text documents
- principal component analysis
- knowledge discovery
- feature selection
- bag of words
- text categorization
- machine learning
- text data
- sparse representation
- data mining
- n gram
- spectral clustering
- labeled data
- unlabeled data
- knn
- unsupervised learning
- database
- multi label
- tensor factorization
- k nearest neighbor
- collaborative filtering
- vector space
- natural language processing
- nearest neighbor
- pairwise
- pattern recognition
- multiscale
- multimedia
- computer vision