A Study of Digitized Semantic Transformation Based on Convolutional Neural Network in Jin Folk Culture Scenarios

Abstract

This study focuses on the folk culture of Jin language, and explores the path of digital semantic conversion with the help of convolutional neural network under the dilemma of modernization and inheritance. The study analyzes the Jin folk culture, analyzes the convolutional neural network technology, and explores its applicability in the semantic conversion of Jin folk culture. The research results provide theoretical support and practical strategies for the digital preservation, dissemination and education of Jin folk culture, which is of great significance for the protection of regional culture and the development of cultural industry.