Improving text categorization by resolving semantic ambiguity.
Hiroshi UejimaTakao MiuraIsamu ShioyaPublished in: Systems and Computers in Japan (2005)
Keyphrases
- text categorization
- semantic browsing
- knn
- text classification
- feature selection
- k nearest neighbor
- multi label
- text documents
- natural language
- automated text categorization
- reuters corpus
- feature weighting
- term frequency
- information gain
- text classifiers
- semi supervised learning
- document categorization
- tf idf
- semantic information
- automatic text categorization
- naive bayes
- feature selection for text categorization
- term weighting
- semantic web
- semantic similarity
- feature selections
- document frequency
- semantic features
- neural network
- unlabeled data
- co occurrence
- machine learning