Explore the vast range of titles available.

This paper constructs a text mining and quantitative evaluation model for cultural and tourism integration policies based on LDA and PMC index models. We find research samples of cultural and tourism integration policies through relevant websites and databases and use the LDA model to mine high-frequency words in the policies and make a high-frequency glossary. The quantitative evaluation index system of cultural and tourism policies is constructed according to the glossary and the definitions of policy evaluation by authoritative scholars, and then the scores of each policy are calculated based on the PMC formula, and the PCM surface diagram is drawn for quantitative evaluation. The results show that 57.14% of the 63 policies belong to the excellent level, and most of the policies have high scores in terms of policy timeliness, subject, tool, field, evaluation, and function, ranging from 0.5 to 0.8. Thirteen policies were poorly rated in terms of policy nature, with only 0.333-05, and there is much room for improvement. Based on the results of the study, an optimization concept focusing on optimizing the nature of policies is proposed to improve the problems existing in the current policy formulation of cultural tourism integration.

Chinese Wushu has a long history and is a sports program gradually developed by the Chinese nation in war, which has important values such as fitness, beauty, and heart. Based on the concept of OBE teaching, the article establishes an informatization teaching mode for Wushu in combination with MOOC platforms and describes the implementation steps for Wushu informatization teaching. Then, based on the cognitive theory of multimedia learning, the construction of an online teaching resources development model of national traditional sports culture in MOOC platform, the introduction of the K-means algorithm for student similarity calculation, combined with collaborative filtering recommendation algorithm for personalized recommendation of online teaching resources of national traditional sports culture. It was found that the MAE value of student similarity based on the K-means algorithm was 0.088, which was 32.82% lower than that of the sub-optimal Pearson algorithm. Before and after the experiment, the EC class students had a 15.97-point increase in their theoretical knowledge of wushu, which was 14.8 points higher than that of the CC class. The information integration strategy for Wushu teaching and traditional national sports culture should be based on the growth-oriented (SO) strategy, supplemented by other developmental strategies.

Under the background of “cultural and tourism integration”, scenic cultural and creative experience products are an important means to enhance the communication power of scenic spots and generate income. In this paper, the CORE model is used as the design concept, and the CORE design process for scenic cultural and creative products is constructed. The plain Bayesian classification algorithm is used to extract review feedback from the product, and the vectorization of the extracted reviews is achieved using the FastText model. The vectorized reviews are input into the logistic regression classification model to obtain sentiment classification results. A fused sentiment feature vector is constructed by combining Apirior and a sentiment dictionary aimed at separating sentiment vector classification. Finally, the experience effect of cultural and creative products is explored as an example of X scenic spot, and the optimization strategy of product design is explored. The attribute feature of X Scenic Spot’s cultural and creative experience product, “color” embraces four emotional attributes, and the corresponding adaptations are 4.77, 5.42, 5.40, and 5.38, respectively. The SDs of the emotional attributes of the existing product are The SDs of the emotional attributes of the existing products are 1.141, 1.025, and 0.184, respectively, and the differences between the product descriptions and the users’ opinions on the perceptual attributes are large, which provides the evaluation correlation in the CORE model. Under the guidance of the CORE model, four aspects of cultural and creative marketing, scenic area IP, consumer needs and product experience dimensions are proposed.

In this paper, in the context of red cultural heritage, GIS technology is firstly utilized to comprehensively classify the resources of the Long March National Cultural Park, including natural, humanistic and recreational resources in various aspects. Through spatial distribution assessment, the distribution characteristics of each type of resource in the park are revealed. Subsequently, the degree of influence of spatial differentiation of resources was calculated by selecting influencing factors with multi-dimensional considerations. Finally, multiple regression analysis was utilized to establish a quantitative model that assesses the degree of influence of each factor on the spatial differentiation of resources. Among the spatial differentiation influencing factors, market demand and natural factors had the highest weights, 0.5584 and 0.3588, respectively. In addition, it was proved that air quality and comfort had a high significance level of P<0.05, which highlighted the importance of the climate environment. Meanwhile, the positive correlation between the number of scenic spots above the 3A level and trade volume and spatial structure, GDP as well and tourism income highlights the positive influence of red cultural heritage on the spatial differentiation of tourism resources.

This paper selects rural tourism development indicators and cultural industry development indicators, respectively, and constructs the evaluation system of comprehensive development level of rural tourism development and cultural industry. The dynamic coupling evolution algorithm is proposed, algorithm improvement is carried out, and the improved coupling model is used to substitute rural tourism development and cultural industry development to analyze the dynamic coordination evolution of the two. Use hierarchical analysis to calculate the weights of the indicator system. Combined with the comprehensive development level of rural tourism and the comprehensive development level of the cultural industry, the coupling and coordination level of the two are measured, and suggestions for the integrated development of rural culture and tourism are put forward. By 2020, the coupling coordination degree of the cultural industry and rural tourism industry in L city will develop to 0.734, and both the cultural industry and rural tourism industry will reach the intermediate level of coordination, but the development of the tourism industry is relatively lagging, and the comprehensive development level of the cultural industry will be 0.695, and the comprehensive development level of tourism industry will be 0.562.

According to the relationship between the economy and trade of the tea ceremony in foreign markets, this paper establishes the economic output model of tea in the tea ceremony in China and Russia, and at the same time, considering the spring tea frost disaster, combined with the probability model, the economic loss rate of tea frost is quantitatively evaluated. Through the analysis of social network and semantic network diagram, the semantic related high-frequency words were classified into the concept of tea culture, and the correlation between high-frequency words about tea culture was obtained. According to the comprehensive influence of domestic factors and foreign factors, the index system of influencing factors of tea export value was determined, and the prediction model of China’s tea export value based on CNN-BSO-LSTM algorithm was constructed by using big data technology, and the tea economy and culture from the perspective of Sino-Russian tea ceremony were studied and analyzed. The results showed that the three indexes of CNNBSO-LSTM were 0.9431, 8850212 and 4.112, respectively, which performed better than other models. The CNN-BSOLSTM model predicts that China’s tea exports will reach around RMB 3.5 billion in 2025, up significantly from RMB 2.3 billion in 2022. This study promotes the economic and cultural exchanges between China and Russia, and is of great significance for promoting the rise and development of urban belts along the Belt and Road.

The rational layout and scientific configuration of public cultural space is an important criterion to measure the public service function of a city, whether it is perfect or not. In this paper, Hohhot Downtown is selected as the research object, and the spatial layout structure of the city is explored using the indicators of expansion intensity, compactness and fractal dimension. A layout optimization method based on a genetic algorithm is proposed to build a spatial layout model, set the spatial layout optimization constraints, complete the genetic algorithm optimization through the optimization coding process, and finally solve the Pareto optimization solution set by using the genetic algorithm of Matlab, which results in the optimization scheme of the new public cultural spatial layout of Hohhot City. The results show that six new public cultural space layout schemes of Hohhot are obtained after optimization, and the six layout scores are in the interval of [0.9, 1.0], all of which are excellent. Decision makers can choose the final layout scheme based on their actual situation and decision preferences.

In this paper, Yancheng’s local culture is classified through literature research, expert interviews, and popular questionnaires. In the dialect matching of emoticons, the high-frequency text used by Yancheng people is used, and the dialect text ranking table measured by experts is combined to provide the main content for producing and designing emoticons. Based on the analysis model of Yancheng material culture and nonmaterial culture, the image design elements of Yancheng regional emojis with local and high cultural characteristics are extracted from Yancheng regional elements. The Design of emoticons that combine pictures and text emphasizes the expression of awareness, starting with modeling the theme image, color matching, scene props, and so on. The animation emoji industry benefits from this valuable feasibility strategy, and new vitality is added to the development of the animation industry in Yancheng.

Data-driven approaches gradually accelerate the development of rural tourism, with sound public service becoming an essential requirement for the development of rural tourism culture. This paper first constructs a data-driven AHP model for rural tourism service evaluation based on the optimization process of power methods and hierarchical analysis algorithms. Second, this paper constructs a rural tourism public service driving force evaluation index system with 2 system layers, 8 indicator layers, and 44 measurement layers, as well as a tourist satisfaction evaluation system with 1 target layer, 7 project layers, and 20-factor layers. Next, we conduct a hierarchical analysis of the innovation driving force in rural tourism and cultural public services within the system. Based on the analysis results, we integrate the two evaluation systems to create a comprehensive rural tourism service driving mechanism. Finally, it proposes a strategy for innovation in rural tourism and cultural public service using data-driven approaches. Financial support is a key factor for rural tourism public services at the current stage of development, and special funds for rural tourism development have become the priority indicators to drive rural tourism public services. The average satisfaction value for the 20 factor-level evaluation indicators ranges from 3.85 to 4.22, with a wide variation in their importance. F12 and F2 have significant importance coefficients of 4.38 and 4.34, respectively. The standard deviation values of the satisfaction and importance coefficients fluctuate between 0.32 to 1.76 and 0.47 to 1.24, respectively. This paper emphasizes the importance of the results for innovation in public services in rural tourism.

Based on the cluster analysis algorithm, this paper collects a large amount of sample data from Huizhou buildings and groups these samples using the cluster analysis algorithm so as to identify different categories of architectural culture types. By dividing the group similarity of each category of buildings, the village cultural characteristics related to each category of buildings are extracted, including information on architectural style, structural features, decorative elements and so on. The results show that the automatic cultural classification feature values are 1.2, 2.5, and 2.9, which highlight the unique characteristics of the Huizhou village culture. Especially in Hongcun and Pai Fang Lane buildings, the cultural features are more significant, with matrix classification degrees of 4.7 and 4.022, respectively, fully highlighting the cultural heritage of these buildings. In addition, the clustering analysis algorithm has only a 9.5% error rate, and the classification accuracies all exceed the high level of 0.9, showing its excellent performance in the extraction of various cultural features.