With the promotion of rural revitalization strategy, the deep integration of culture and tourism industry has become an important way to promote regional economic development. This study proposes a mechanism to promote rural revitalization through the integration of rural music and cultural and tourism industries based on big data analysis. First, an emotion recognition model combining the bidirectional long and short-term memory network (BiLSTM) and the Self-Attention mechanism (Self-Attention) is adopted to improve the emotion classification accuracy of rural music. The experimental results show that the proposed model achieves a maximum recognition accuracy of RMSE 0.0814 and R² 0.807 in the emotion recognition task.Secondly, through the analysis of the emotional characteristics of Sichuan country music, combined with the characteristics of the cultural and tourism industry, a specific scheme is proposed to promote the integration of country music and the cultural and tourism industry through music emotion recognition. The program includes measures such as establishing a rural music promotion platform and creating emotional interaction scenes, which aim to enhance the influence of rural music and provide tourists with richer emotional experiences. The study shows that the combination of digital technology and rural music not only promotes the dissemination of Sichuan’s rural culture, but also helps the implementation of the rural revitalization strategy and promotes the development of the local economy.
