Evaluation on the Communication Effect of National Music Culture in the Era of Big Data

Under the background of the integration of big data and new media, the traditional Chinese folk music communication ecology continues to reshape. Based on multi-platform data, this paper constructs a four-layer framework of “data flow-feature layer-indicator layer-decision layer”, which integrates entropy weight-critical, improved TOPSIS, cloud model, and Hawkes process, and establishes a comprehensive evaluation system covering communication breadth, participation, emotional feedback, and re-creation. Through multimodal analysis and dynamic modeling, the influence mechanism of content characteristics and emotional interaction on communication is revealed. The results show that the model can effectively identify cross-platform communication differences and predict the evolution of cultural identity. The research provides a quantifiable and interpretable technical paradigm for the digital communication of national music, which has both theoretical and practical value.