Research on Tourism Destination Attraction Based on Deep Learning

Abstract

Mining and analyzing online travel reviews and travel information is playing an increasingly important role in the tourism industry. Accurately capturing the uniqueness and attractiveness of the tourist destinations recorded in the travel notes is the key to tourism analysis and application. The current way to obtain the attraction of tourism is easy to cause bias due to the use of simple statistical methods. This paper proposes a model based on deep learning, which uses Bert pre-training method, based on Transformer, and mines travel notes through Attention to find the attraction point. The model can understand the chapter-level semantics of travel notes based on the context, so much so that the extracted features are closer to the meaning of the text. It also exhibits good performance in generating unique labels of tourist destinations and similar tourism clusters. The experimental results are consistent with the facts, the validity of the model is also proved.