Empirical Analysis of the Effect of Dimension Reduction and Word Order on Semantic Vectors.
Laurianne SitbonPeter D. BruzaChristian ProkoppPublished in: Int. J. Semantic Comput. (2012)
Keyphrases
- empirical analysis
- dimension reduction
- word order
- principal component analysis
- empirical studies
- natural language generation
- theoretical analysis
- feature extraction
- high dimensional
- high dimensional data
- low dimensional
- bag of words
- natural language
- cluster analysis
- linear discriminant analysis
- feature selection
- feature space
- feature vectors
- semantic information
- dimensionality reduction
- singular value decomposition
- high dimensionality
- semantic similarity
- unsupervised learning
- vector space
- input data
- image classification
- preprocessing
- text classification
- data analysis
- multiscale
- image retrieval
- qr decomposition