Tourism network comments sentiment analysis and early warning system based on Ontology

Abstract

Mine Tourism information and opinion, intelligent analysis user emotion, to improve tourism products and services, is the key to the success of tourism e-commerce. This paper embarks from the tourism network review information, researches how to build the microblog emotional vocabulary ontology and how to classify emotion based on Naive Bayes classification algorithm, implements a tourism network comments sentiment analysis and early warning system based on ontology. It not only save a large amount of manpower and material resources, but also have a certain reference value to establish reasonable tourism policy.