Han Dong, Xu Jie, Zhou Ping
College of Literature and Journalism, Sanjiang University, Nanjing, 210012, Jiangsu, China.
Visiting Scholar, One Belt one Road Research Center of Macau, City University of Macau, Macau, China.
Heliyon. 2024 Sep 6;10(18):e37572. doi: 10.1016/j.heliyon.2024.e37572. eCollection 2024 Sep 30.
With the continuous change and progress of the world system, cultural communication has become a vital topic in today's society. This study aims to optimize the communication effect of Chinese film in Portuguese-speaking countries and promote the development of cultural communication in China through deep learning (DL) technology. First, this study utilizes DL technology to design film feature recognition and classification models to provide technical support for Chinese film communication. Second, by exploring the principle, development, and function of the digital Internet of Things, the study analyzes the evolution and spread of Chinese film in Portuguese-speaking countries and uses the Bayes algorithm to optimize the model. The results show that the calculation time of the designed model is shorter and the accuracy is higher, which offers an important reference for the effective communication of Chinese films in Portuguese-speaking countries. Hence, this study not only provides technical support for the improvement of the international communication effect of Chinese film but also contributes to the development of cultural communication in China.
随着世界体系的不断变化与进步，文化交流已成为当今社会的一个重要话题。本研究旨在通过深度学习（DL）技术优化中国电影在葡语国家的传播效果，推动中国文化交流的发展。首先，本研究利用DL技术设计电影特征识别与分类模型，为中国电影传播提供技术支持。其次，通过探究数字物联网的原理、发展及功能，本研究分析中国电影在葡语国家的演变与传播，并使用贝叶斯算法优化模型。结果表明，所设计模型的计算时间更短且准确率更高，这为中国电影在葡语国家的有效传播提供了重要参考。因此，本研究不仅为提升中国电影国际传播效果提供了技术支持，也为中国文化交流的发展做出了贡献。
