Hybrid Classifier by Integrating Sentiment and Technical Indicator Classifiers.
Nguyen Duc VanNguyen Ngoc DoanhTrong Khanh NguyenThi Ngoc Anh NguyenPublished in: ICCASA/ICTCC (2017)
Keyphrases
- individual classifiers
- linear classifiers
- multiple classifiers
- training data
- classifier combination
- classifier systems
- svm classifier
- probabilistic classifiers
- nearest neighbor classifier
- feature set
- support vector
- classification rate
- rule based classifier
- k nearest neighbour
- classification algorithm
- class labels
- ensemble classifier
- combining classifiers
- majority vote
- training samples
- decision trees
- binary classifiers
- optimum path forest
- classifier ensemble
- higher classification accuracy
- feature selection
- highest accuracy
- training set
- classification decisions
- classifier training
- classification process
- ensemble learning
- learning classifier systems
- final classification
- decision tree classifiers
- bayes classifier
- classification method
- decision boundary
- neural classifier
- training examples
- accurate classifiers
- fold cross validation
- multiple classifier systems
- kernel classifiers
- sentiment analysis
- multi class
- classification models
- bayesian classifier
- correctly classified
- training instances
- supervised classifiers
- text classifiers
- train a support vector machine
- multi category
- support vector machine
- labeled training data
- nearest neighbour
- discriminative classifiers
- naive bayes
- associative classifiers
- majority voting
- multiclass classification
- naive bayes classifier
- knn
- extracted features
- confusion matrix
- boosted classifiers
- feature space
- sufficient training data
- supervised classification
- feature vectors
- nearest neighbor classifiers
- roc curve
- sentiment classification
- unseen data
- bayesian classifiers
- positive and negative
- weak classifiers
- lexical features
- active learning