Text mining using nonnegative matrix factorization and latent semantic analysis.
Ali HassaniAmir IranmaneshNajme MansouriPublished in: Neural Comput. Appl. (2021)
Keyphrases
- latent semantic analysis
- nonnegative matrix factorization
- document clustering
- text mining
- negative matrix factorization
- text documents
- tf idf
- information extraction
- information retrieval
- natural language processing
- text classification
- knowledge discovery
- data mining
- topic modeling
- machine learning
- vector space model
- latent dirichlet allocation
- named entities
- text summarization
- clustering algorithm
- document collections
- topic models
- knowledge base
- data representation
- co occurrence
- latent semantic indexing
- singular value decomposition
- multiscale
- least squares
- k means
- image classification
- dimensionality reduction
- nearest neighbor