Machine learning methods were presented to identify deceptive reviews.With the integration of knowledge from computational linguistics and psycholinguistics,supervised method was developed to evaluate the performance of different feature modelings,and select the best mixed features.Then,two semi-supervised learning methods were designed to exploit the large amount of unlabeled data.The results showed the proposed methods outperform the current baselines.
