Using piecewise hyper linear classification in multidimensional feature space for text content.
Olexander BarmakEduard ManziukIurii KrakPublished in: CSIT (2) (2019)
Keyphrases
- text content
- linear classification
- feature space
- linear classifiers
- hyperplane
- document classification
- maximum margin
- web pages
- user generated
- support vector machine
- feature selection
- high dimensional
- text corpus
- data points
- topic modeling
- kernel function
- feature vectors
- input space
- keywords
- training samples
- training set
- dimensionality reduction
- principal component analysis
- multi class
- text documents
- classification accuracy
- feature set
- training data
- feature extraction
- image classification
- low dimensional
- text categorization
- knowledge base