A machine learning approach for text categorization of fixing-issue commits on CVS.
Alessandro MurgiaGiulio ConcasMichele MarchesiRoberto TonelliPublished in: ESEM (2010)
Keyphrases
- text categorization
- text classification
- feature selection
- multi label
- document classification
- naive bayes
- information gain
- automated text categorization
- reuters corpus
- text documents
- text classifiers
- k nearest neighbor
- text collections
- knn
- semi supervised learning
- neural network
- document categorization
- automatic text categorization
- feature selection for text categorization
- feature selections
- tf idf
- mutual information
- term weighting
- term selection
- training documents
- reinforcement learning
- feature selection and classifier
- multi instance multi label learning
- relevance feedback
- semantic browsing
- nearest neighbor