The Impact of the MERS Outbreak in Daily Lives: Sentiment Analysis of Korean Tweets using Time-series Methods

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Last Modified
  • February 28, 2019
Creator
  • An, Yongsu
    • Affiliation: School of Information and Library Science
Abstract
  • This study examines the correlation between sentiments in tweets and the number of passengers in the subway as the social index during the MERS outbreak in South Korea. The observation that motivated this study in the social context was that people tended to avoid their social lives outdoors by the fear of being infected during the situation. Two time-series datasets were processed for the purpose of getting rid of seasonal patterns. The result showed that they are correlated with each other with 169 hours. It indicates that the sentiments in social media can be a good way of mirroring people's behaviors ahead of time.
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DOI
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Rights statement
  • In Copyright
Advisor
  • Arguello, Jaime
Degree
  • Master of Science in Information Science
Degree granting institution
  • University of North Carolina at Chapel Hill
Extent
  • 35
Deposit record
  • 0864df59-9813-419f-a0cd-49ac86828a0e
Date uploaded
  • April 14, 2016

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