Hate Speech Classification Using SVM and Naive BAYES.
Doris Chinedu AsogwaChiamaka Ijeoma ChukwunekeC. C. NgeneG. N. AnigboguPublished in: CoRR (2022)
Keyphrases
- naive bayes
- classification algorithm
- classification accuracy
- naive bayes classifier
- decision trees
- text classifiers
- text classification
- feature selection
- cost sensitive
- support vector
- probabilistic classifiers
- uci datasets
- training data
- bayes classifier
- naive bayesian classifier
- support vector machine svm
- logistic regression
- probability estimation
- support vector machine
- training set
- text categorization
- bayesian classifiers
- uci data sets
- document classification
- bayesian network classifiers
- naive bayes models
- bayesian classifier
- augmented naive bayes
- class probabilities
- feature vectors
- svm classifier
- machine learning
- feature space
- knn
- naive bayes classification
- feature extraction
- averaged one dependence estimators
- classification models
- bayesian networks
- k nearest neighbor
- feature set
- highly skewed
- conditional independence assumption
- training samples
- multi class
- machine learning algorithms
- cost sensitive learning
- probability estimates
- rule learning