Text sentiment analysis based on ensemble learning method
Zhu Jia · Computer Engineering and Applications Journal · 2014
The EL-based(Ensemble Learning)sentiment analysis method takes three different high-quality sentiment analysis models as basic classifiers, and combines these basic classifiers into a final classifier. In order to overcome the shortcoming of the traditional combination method that only considers the different results of the components, different features are also considered. Experimental results show that the accuracy rate of the proposed method on an English movie review corpus is 88.2%.