A Research on The Method of Chinese Sentiment Analysis Based on Transfer Learning

Sentiment analysis has great commercial value, which is widely used in product analysis and product recommendation in the industry. This paper presents the potential application of transfer learning in Chinese text categorization and have a binary classification of the automobile comment dataset, demonstrating that the model presented in this paper is effective and the classification accuracy is improved to 96.35%.