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.
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Acknowledgment
The work in this paper is partially supported by the Scientific Research Plan Project of Education Department of Hubei of China under Grant No. B2015360 and in part supported by China National Nature Science Foundation under Grant No. 61502356.
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Yang, Y., Lin, X. (2016). Tourism Network Comments Sentiment Analysis and Early Warning System Based on Ontology. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_76
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DOI: https://doi.org/10.1007/978-3-319-42294-7_76
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