JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest.
Oliver DürrFatih UzdilliMark CieliebakPublished in: SemEval@COLING (2014)
Keyphrases
- random forest
- decision trees
- feature set
- rotation forest
- fold cross validation
- ensemble classifier
- random forests
- ensemble learning
- ensemble methods
- naive bayes
- sentiment analysis
- feature ranking
- feature selection
- base classifiers
- training data
- majority voting
- test set
- training set
- machine learning algorithms
- cancer classification
- data sets
- classification models
- decision tree learning algorithms
- class labels
- machine learning methods
- multi label
- svm classifier
- classifier ensemble
- multiple classifier systems
- feature space
- support vector
- feature extraction
- logistic regression
- benchmark datasets
- higher order
- classification accuracy
- high dimensional
- feature importance