Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity.
Stephan BloehdornRoberto BasiliMarco CammisaAlessandro MoschittiPublished in: ICDM (2006)
Keyphrases
- text classification
- semantic features
- semantic similarity
- text representation
- similarity measure
- semantic similarity measure
- semantic information
- bag of words
- proximity measures
- text categorization
- machine learning
- text mining
- individual features
- topological features
- labeled data
- sentence similarity
- feature selection
- supervised feature selection
- text data
- n gram
- histogram intersection
- discriminatory power
- text documents
- data cleaning
- distance measure
- feature maps
- multiple kernel learning
- euclidean distance
- feature vectors
- image features
- co occurrence
- feature set
- text classifiers
- similarity measurement
- multiple features
- sentiment analysis
- kernel methods
- multi label
- image classification
- semantic web
- similarity function
- word similarity
- naive bayes
- natural language
- support vector
- neural network