Semi-supervised Nonnegative Matrix Factorization for Document Classification.
Jamie HaddockLara KassabSixian LiAlona KryshchenkoRachel GrotheerElena SizikovaChuntian WangThomas MerkhR. W. M. A. MadushaniMiju AhnDeanna NeedellKathryn LeonardPublished in: CoRR (2022)
Keyphrases
- document classification
- nonnegative matrix factorization
- semi supervised
- semi supervised learning
- text categorization
- classification algorithm
- active learning
- matrix factorization
- labeled data
- data representation
- unlabeled data
- negative matrix factorization
- text classification
- web documents
- unsupervised learning
- least squares
- text mining
- pairwise
- supervised learning
- text documents
- generative model
- feature selection
- principal component analysis
- digital libraries
- information retrieval systems
- high dimensional
- multiscale