A Semantic Kernel to Classify Texts with Very Few Training Examples.
Roberto BasiliMarco CammisaAlessandro MoschittiPublished in: Informatica (Slovenia) (2006)
Keyphrases
- training examples
- support vector
- small number
- training data
- training set
- learning algorithm
- active learning
- natural language
- supervised learning
- training phase
- object categories
- kernel methods
- target concept
- class labels
- domain theory
- semantic information
- training samples
- feature space
- kernel function
- class distribution
- negative examples
- support vectors
- labeled examples
- prior domain knowledge
- information retrieval
- labeled data
- domain specific
- principal component analysis
- multi class
- domain knowledge
- prior knowledge
- machine learning