The Analysis of Chinese Red Classic Literature Communication Culture Tourism Based on Intelligent Long Short-Term Memory Networks and Deep Learning

Key Points

• This research aims to explore the impact of intelligent long short-term memory networks on the communication of Chinese red classic literature in tourism.
• Utilized deep learning techniques to analyze literature communication patterns.
• Examined the interaction between literature and cultural tourism.
• Assessed the effectiveness of these approaches on enhancing tourist engagement.
• Found a significant increase in tourism interest when deep learning methods are applied to literature communication.
• Identified key factors that improve tourist experiences based on literature themes.
• Demonstrated the potential for data-driven insights to elevate tourism strategies.