Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification.
Tomas PranckeviciusVirginijus MarcinkeviciusPublished in: Balt. J. Mod. Comput. (2017)
Keyphrases
- logistic regression
- decision trees
- naive bayes
- random forest
- fold cross validation
- random forests
- text classifiers
- classification algorithm
- tree augmented naive bayes
- support vector
- naive bayes classifier
- classification accuracy
- decision tree learning algorithms
- cost sensitive
- base classifiers
- bayesian classifier
- logistic regression models
- classification models
- training set
- machine learning algorithms
- training data
- machine learning
- text classification
- decision tree learning algorithm
- ensemble methods
- information gain
- probability estimation
- bayesian classifiers
- bayesian network classifiers
- ensemble learning
- classification trees
- naive bayes models
- ensemble classifier
- feature set
- feature selection
- text mining
- bayesian networks
- probability estimates
- supervised learning
- feature ranking
- text categorization
- loss function
- semi supervised
- neural network
- feature space
- machine learning methods
- class imbalance
- svm classifier