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Hybrid Model using Stack-Based Ensemble Classifier and Dictionary Classifier to Improve Classification Accuracy of Twitter Sentiment Analysis
2020
International Journal of Emerging Trends in Engineering Research
Ensemble classifiers are widely used for the enhancement of accuracy of twitter sentiment classification. In the present research, a hybrid model based on stack based ensemble classifiers and dictionary based classifier is used for tweet classification as positive and negative. To enhance accuracy of classification, sentiment score retrieved from dictionary based classifier is added to the feature vector to get enhanced feature set and the hybrid stack based ensemble model is implemented on
doi:10.30534/ijeter/2020/02872020
fatcat:z6k4ia4bdre4pj7g6j4herm4rm