Source Code Comment Classification using Naive Bayes and Support Vector Machine.
Raj Jitendra ShahPublished in: FIRE (Working Notes) (2023)
Keyphrases
- source code
- naive bayes
- classification accuracy
- support vector machine
- classification algorithm
- naive bayes classifier
- decision trees
- text classification
- feature selection
- training data
- open source
- probabilistic classifiers
- cost sensitive
- uci datasets
- text classifiers
- training set
- support vector
- naive bayesian classifier
- uci data sets
- logistic regression
- software systems
- svm classifier
- bayesian classifier
- bayesian network classifiers
- support vector machine svm
- feature space
- augmented naive bayes
- text categorization
- machine learning
- bayesian networks
- decision boundary
- multi class
- combining classifiers
- feature vectors
- bayesian classifiers
- feature set
- naive bayes models
- conditional independence assumption
- probability estimates
- bug localization
- high level
- classification models
- software repositories
- feature extraction
- kernel function
- data points
- base classifiers
- databases
- supervised learning
- text mining
- k nearest neighbor
- data sets