Implementation of VR application in cultural and tourism integration under the background of smart city and IoT

This study designs a WebGL virtual roaming system for tourist attractions in Internet of Things. Virtual reality technology and emotion analysis methods are used to construct virtual scenic spots by applying virtual reality technology in the porcelain kiln site park. Emotional inclination analysis was conducted on cultural and tourism industry integration degree through an emotional dictionary and an improved Term Frequency Inverse Document Frequency algorithm. During the trial phase, a total of 2,234 tourist reviews were collected. Experimental results showed that the improved algorithm achieved an F1 score of 0.891 for positive sentiment classification, significantly enhancing overall accuracy. In terms of system performance, the optimized virtual roaming system maintained stable memory and CPU usage while reducing GPU load by over 20% and increasing the FPS from 30 fps to 44.6 fps. This study not only develops a prototype WebGL virtual roaming system suitable for cultural and tourism integration scenarios, but also proposes an optimized sentiment analysis method for cultural tourism reviews, offering theoretical support and technical guidance for the practical and intelligent development of smart cultural tourism systems.