The Impact of Chinese Stories on the Foreign Communication of Shaanxi Local Culture Based on Deep Learning Models

Abstract

Abstract Exploring the influence of good Chinese storytelling on the foreign communication of local culture in Shaanxi is to develop local culture better and expand the influence of the local cultural industry in Shaanxi. In this paper, starting from deep learning neural networks, the attention mechanism is introduced by using convolutional neural networks, and the attention mechanism-based detection model for cultural information dissemination is constructed by vectorizing the data of the pre-trained model. The performance of the CNN-ATT model constructed in this paper is experimentally analyzed on two data sets. The accuracy of this paper’s model on the Ma_Dataset and CED_Dataset datasets is 96.23% and 95.21%, respectively. The best results are obtained when the convolution size is 3,4,5, and the accuracy is improved by about 4.03% compared with the convolution size of 4,5. This shows that the model of this paper can effectively analyze the influence of cultural information dissemination and also provides a research basis for the detection of the influence of telling Chinese stories on expanding the foreign communication of local culture in Shaanxi.