Emotional Text Analysis Based on Ensemble Learning of Three Different Classification Algorithms
Wenshuo Bian, Chunzhi Wang, Zhiwei Ye, Lingyu Yan · 2019
In order to improve the accuracy and generalization performance of text sentiment analysis model, an integrated learning model is proposed in this paper, which includes three different classification algorithms - Logistic regression, support vector machine and K-Neighborhood algorithm. Compared with single classification algorithm, this algorithm shows better accuracy. The experimental results show that the model has good generalization performance and robustness.