A Natural Language Tagging Method for Roaming Path in the Virtual Scene of Farming Culture

摘要

Combining virtual reality technology and natural language processing technology, this paper can effectively control the roaming of farming culture virtual scene in real time through human language, which can more conveniently realize the interaction and immersion of virtual scenes and increase the interest of the propagation of farming culture. Therefore, this paper focuses on the corpus tagging and training method of path corpus based on natural language. The results show that by this method the accuracy rate, recall rate and F-measure can reach 95.4075%, 91.83% and 93.2675% respectively, which can provide support for subsequent path planning and roaming.