Investigating the Performance Impact of Dimensionality Reduction on Word Vectors.
Didier GohourouKazuhiro KuwabaraPublished in: IIAI-AAI (2023)
Keyphrases
- dimensionality reduction
- principal components
- lower dimensional
- high dimensional data
- low dimensional
- structure preserving
- pattern recognition
- data representation
- feature vectors
- n gram
- principal component analysis
- pattern recognition and machine learning
- neural network
- discriminant information
- preprocessing step
- high dimensionality
- feature selection
- feature space
- high dimensional
- co occurrence
- linear dimensionality reduction
- feature extraction
- keywords
- linear discriminant analysis
- vector space
- sparse representation
- data points
- pairwise
- word sense disambiguation
- covariance matrices
- word recognition
- text classification
- information retrieval
- machine learning