Impact of Deep Learning Based Tourism Business Model on Present Tourism Industry

Abstract

Tourism Industry has become one of the drivers of the worldwide economy and is continuously increasing over past many years. In the field of tourism, the technology has become so much advanced these days that tourists always prefer online accessibility of required tourism services. The availability of data and information over the internet has changed the past accessibility scenario. Online data and services available in the field of tourism gives a lot of flexibility to the customers to access the same like online hotel booking and other associated tourism services. This paper focuses on the impact of deep learning technique by using online customer reviews through sentiment analysis on tourism business in future. For this purpose, an efficient proposed tourism business model has been discussed in this paper that will help undoubtedly to enhance the e-business of tourism industry by imparting more customer satisfaction. The deep learning techniques used for this ensures the implementation of most efficient methods on tourism data taken online through sentiment analysis. Further it has been compared with existing techniques of machine learning which shows that deep learning latest technique RNN using LSTM will give more accurate results worked on customer data and feedback rather than existing classical machine learning algorithms. So it will remove the barrier of existing tourism system having gaps and limitations and improved system will come into light in future to give easy and accurate platform to the customers in context of accessibility of tourism services. More is customer satisfaction , more will be good reviews about the tourism services of different organizations that will undoubtedly play utmost important role in enhancing tourism business which is the main objective of tourism industry and this would be possible only by using current efficient deep learning technique RNN using LSTM.