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May 30, 2026International Journal of Arts and Technology0 citationsOpen Access

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

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YWYuanzhuo WangWXWenxuan XiangWLWei Lang

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.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a1a827f0307b7850943426bhttps://doi.org/10.1504/ijart.2026.10078827
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