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Towards Understanding Cross-Cultural Crowd Sentiment Using Social Media

  • Yuanyuan WangEmail author
  • Panote Siriaraya
  • Muhammad Syafiq Mohd Pozi
  • Yukiko Kawai
  • Adam Jatowt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10766)

Abstract

Social media such as Twitter has been frequently used for expressing personal opinions and sentiments at different places. In this paper, we propose a novel crowd sentiment analysis for fostering cross-cultural studies. In particular, we aim to find similar meanings but different sentiments between tweets collected over geographical areas. For this, we detect sentiments and topics of each tweet by applying neural network based approaches, and we assign sentiments to each topic based on the sentiments of the corresponding tweets. This permits finding cross-cultural patterns by computing topic and sentiment correspondence. The proposed methods enable to analyze tweets from diverse geographical areas sentimentally in order to explore cross-cultural differences.

Keywords

Crowd sentiment analysis Similar but sentimentally different Cross-cultural studies 

Notes

Acknowledgments

This work was partially supported by MIC SCOPE (#171507010), and JSPS KAKENHI Grant Numbers 16H01722, 17K12686, 17H01822.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Yamaguchi UniversityUbeJapan
  2. 2.Kyoto Sangyo UniversityKyotoJapan
  3. 3.Universiti Tenaga NasionalKajangMalaysia
  4. 4.Kyoto UniversityKyotoJapan

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