부산대학교 도서관

The nature of comments usually has an important impact on the network environment. Polite and gentle comments can not only promote communication between users, but also maintain the stability of the network platform. On the contrary, rude and toxic comments will make the communication environment unacceptable. Therefore, we need to impose certain restrictions on comments. This article is based on the XLM-RoBERTa model to achieve the classification of multilingual toxic comments. We first use training and verification data to train and optimize the model, and then use the test data to get the final classification results. In addition, our model is compared with models such as LSTM and RNN. Experiments show that the model proposed in this paper has better classification performance.