Knowledge based dimensionality reduction for technical text mining.
Walid ShalabyWlodek ZadroznySean GallagherPublished in: IEEE BigData (2014)
Keyphrases
- text mining
- dimensionality reduction
- principal component analysis
- high dimensional
- high dimensionality
- text documents
- data representation
- feature extraction
- web mining
- text classification
- principal components
- linear discriminant analysis
- data points
- information extraction
- low dimensional
- pattern recognition
- high dimensional data
- knowledge discovery
- information retrieval
- random projections
- data mining
- dimensionality reduction methods
- natural language processing
- topic models
- biomedical literature
- manifold learning
- wide variety
- machine learning
- metric learning
- structure preserving
- named entities
- textual documents
- lower dimensional
- document clustering
- topic modeling
- least squares
- neural network
- text clustering
- dimension reduction
- feature space
- expert systems
- pairwise
- learning algorithm
- textual data
- artificial intelligence
- discriminant analysis
- feature selection
- principal components analysis
- data analysis
- text categorisation