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Proceedings of the 2015 Chinese Intelligent Systems Conference pp 375–382Cite as

Sentiment Analysis Based on Evaluation of Tourist Attractions

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE))

Abstract

Tourists satisfaction has become more and more an indicator of tourism development. Sentiment analysis on data of comments and hot discussion on travel site and Weibo can help judge real-time satisfaction trend of tourists with scenic spots according to the intensity of sentimental tendency. Considering the deficiencies in current sentiment analysis, in this paper, firstly the polarity value and strength value are used to calculate the sentimental intensity of the sentimental words. HIT-CIR Tongyici Cilin (extended) is used to expand the synonyms of the sentimental words in order to reduce the impact of words not in HowNet and some sentimental words with low frequency in the corpus. Then we improved the traditional semantic similarity method based on HowNet according to the characteristics of sentiment analysis, combining it with the method based on Point Mutual Information (PMI) and syntactic dependency relations. High accuracy is shown by the experimental results.

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References

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Acknowledgement

This work was supported by the National Basic Research Program of China (973 Program) 2012CB821200 (2012CB821206), the National Natural Science Foundation of China (No. 61320106006), Beijing Excellent Talent Founding Project (2013D005003000009).

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Authors and Affiliations

  1. Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Zhicheng Ma & Junping Du

  2. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100876, China

    Yipeng Zhou

Authors
  1. Zhicheng Ma
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  2. Junping Du
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  3. Yipeng Zhou
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Corresponding author

Correspondence to Junping Du .

Editor information

Editors and Affiliations

  1. Beihang University, Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. Tsinghua University, Beijing, China

    Hongbo Li

  4. University of Science & Technology Beijing, Beijing, China

    Weicun Zhang

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© 2016 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ma, Z., Du, J., Zhou, Y. (2016). Sentiment Analysis Based on Evaluation of Tourist Attractions. In: Jia, Y., Du, J., Li, H., Zhang, W. (eds) Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48386-2_39

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  • DOI: https://doi.org/10.1007/978-3-662-48386-2_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48384-8

  • Online ISBN: 978-3-662-48386-2

  • eBook Packages: EngineeringEngineering (R0)

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