Integrating Low-rank Approximation and Word Embedding for Feature Transformation in the High-dimensional Text Classification.
Le Nguyen Hoai NamHo Bao QuocPublished in: KES (2017)
Keyphrases
- text classification
- high dimensional
- text data
- bag of words
- text mining
- low dimensional
- feature selection
- nearest neighbor
- dimensionality reduction
- machine learning
- similarity search
- co occurrence
- data points
- high dimensional data
- vector space
- labeled data
- subspace learning
- feature space
- singular value decomposition
- sparse coding
- manifold learning
- kernel pca
- input space
- dimension reduction
- kernel function
- knn