Vietnamese Sentiment Analysis for Hotel Review based on Overfitting Training and Ensemble Learning
Thuy Nguyen-Thanh, Giang T.C. Tran · 2019
In this study, we propose a machine learning model in analyzing customer opinions based on Vietnamese text: the case of hotel service, classifying a review as a positive or a negative. In particular, our solution focuses on improvement: preprocessing, standardization, training data relabelling with Error Analysis method. Besides, training data is enhanced with emotional dictionary; 5-Fold Cross Validation and Confusion Matrix are used to control overfitting and underfitting and to test the model; Hyperparameter Tuning method is used to optimize model parameters; Ensemble Methods are used to combine several machine learning techniques into the most efficient predictive model. Used data is collected from website booking.com.