Comparison of Naïve Bayes, Support Vector Machine, Decision Trees and Random Forest on Sentiment Analysis.
Márcio GuiaRodrigo Rocha SilvaJorge BernardinoPublished in: KDIR (2019)
Keyphrases
- random forest
- sentiment analysis
- decision trees
- bayes classifiers
- bayes classifier
- support vector machine
- bayesian classifiers
- text classification
- opinion mining
- random forests
- tree augmented
- sentiment classification
- multi class
- naive bayes
- training data
- logistic regression
- machine learning
- sentence level
- training set
- ensemble classifier
- ensemble methods
- base classifiers
- bayesian classifier
- feature selection
- multi label
- text mining
- classification models
- product reviews
- support vector
- knn
- bayesian network classifiers
- svm classifier
- text categorization
- machine learning algorithms
- feature vectors
- natural language processing
- feature set
- naive bayes classifier
- support vector machine svm
- product features
- information retrieval
- sentiment lexicon
- data mining