Analysis of optimization and efficient application of image recognition algorithm based on graph neural network

In the context of the development of regional tourism, the planning pattern of accommodation facilities in tourist attractions plays a very important role in enhancing tourists' experience perception, which is conducive to the enhancement of tourists' goodwill towards tourist attractions.This paper is oriented to the theory of sustainable development, and selects GL city as the research case site to obtain the visitor evaluation data of accommodation facilities in tourist attractions.The evolution trend of tourist attraction accommodation facilities is analyzed by geographic concentration index, standard deviation ellipse, nearest neighbor index, combined with TF-IDF algorithm to extract high-frequency words of tourists' experience on the planning of tourist attraction accommodation facilities, and coarse-grained tourism review text sentiment classification model is introduced to analyze the tourists' sentiment evaluation of tourist attraction accommodation facilities.The geographic concentration index of accommodation facilities in tourist attractions increases from 20.19 to 53.72 from 1980 to 2023, and the relative frequency difference between "service" and "room" of hotel facilities in tourist attractions is 4.35 percentage points, while that of B&B is only 0.5 percentage points.The relative frequency of "service" and "room" of hotel facilities in tourist attractions differed by 4.35 percentage points, while that of B&Bs differed by only 0.77 percentage points, and more than 70% of the tourists had a positive attitude towards the experience of accommodation facilities in tourist attractions.Lodging facilities in tourist attractions need to enrich the sequence of lodging products, improve the layout of service and reception facilities, create relevant themed B&Bs, and enhance the service quality of lodging facilities by combining modern technology to further promote the sustainable development of lodging facilities planning.