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2020 | OriginalPaper | Chapter

Design of Establishment System of Satisfaction Index for Tourist Sites According to the Weather Using Deep Neural Network

Authors : Hyeon-woo An, Kyungrog Kim, Nammee Moon

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Text’s sentiment analysis techniques of texts play an important role in many fields including decision system. Sentiment analysis has been developed by combining with various technologies in accordance with this trend. The approach that extracts and uses the qualities in the sentences and the structure using the deep neural network belong to the example. In this paper, we propose a system to classify the vast amount of SNS tourist sites reviews into many factors that can affect tourism such as weather and includes rating by using the text sentiment analysis technology applying deep neural network.

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Literature
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Metadata
Title
Design of Establishment System of Satisfaction Index for Tourist Sites According to the Weather Using Deep Neural Network
Authors
Hyeon-woo An
Kyungrog Kim
Nammee Moon
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-9341-9_53