LDA and LSI as a Dimensionality Reduction Method in Arabic Document Classification.
Rami AyadiMohsen MaraouiMounir ZriguiPublished in: ICIST (2015)
Keyphrases
- document classification
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- linear discriminant analysis
- discriminant projection
- principal component analysis
- supervised dimensionality reduction
- latent semantic indexing
- text mining
- text classification
- singular value decomposition
- principal components analysis
- latent dirichlet allocation
- face recognition
- text categorization
- feature extraction
- dimension reduction
- low dimensional
- high dimensional
- classification algorithm
- text documents
- high dimensional data
- topic models
- pattern recognition
- web documents
- feature selection
- feature space
- knn
- scatter matrices
- random projections
- preprocessing step
- data sets
- document clustering
- support vector machine svm
- data points
- principal components
- neural network
- topic modeling
- information extraction
- support vector