Causal Feature Selection with Dimension Reduction for Interpretable Text Classification.
Guohou ShanJames R. FouldsShimei PanPublished in: CoRR (2020)
Keyphrases
- dimension reduction
- feature selection
- text classification
- text categorization
- high dimensional problems
- unsupervised learning
- data mining and machine learning
- feature space
- manifold learning
- feature extraction
- high dimensionality
- preprocessing step
- classification accuracy
- variable selection
- naive bayes
- random projections
- machine learning
- k nearest neighbor
- feature set
- labeled data
- neural network
- discriminative information
- dimensionality reduction
- multi label
- discriminative features
- principal component analysis
- support vector machine
- partial least squares
- model selection
- high dimensional data
- support vector
- high dimensional
- low dimensional
- data points
- information retrieval
- feature reduction
- manifold embedding
- knn
- linear discriminant analysis
- cluster analysis
- text mining
- maximum likelihood