Using symbolic prominence to help design feature subsets for topic classification and clustering of natural human-human conversations.
Constantinos BoulisMari OstendorfPublished in: INTERSPEECH (2005)
Keyphrases
- feature selection
- feature subset selection
- classification accuracy
- feature subset
- classification models
- final classification
- pattern recognition
- clustering algorithm
- feature extraction
- pairwise
- decision trees
- feature space
- training set
- k means
- machine learning
- support vector machine
- high dimensionality
- selection algorithm
- feature selection algorithms
- irrelevant features