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Visualizing Impression-Based Preferences of Twitter Users

  • Tadahiko Kumamoto
  • Tomoya Suzuki
  • Hitomi Wada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8531)

Abstract

Twitter is extremely useful for connecting with other users, because, on Twitter, following other users is simple. On the other hand, people are often followed by unknown and anonymous users and are sometimes shown tweets of unknown users through the tweets of the users they follow. In such a situation, they wonder whether they should follow such unknown users. This paper proposes a system for visualizing impression-based preferences of Twitter users to help people select whom to follow. The impression-based preference of a user is derived based on the impressions of the tweets the user has posted and those of the tweets of users followed by the user under consideration. Our proposed system enables people to select whom to follow depending on whether or not another user adheres to the user’s own sensibilities, rather than on whether or not another user provides valuable information.

Keywords

News Article Sentiment Analysis Twitter User Target Impression Bipolar Scale 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Tadahiko Kumamoto
    • 1
  • Tomoya Suzuki
    • 1
  • Hitomi Wada
    • 1
  1. 1.Chiba Institute of TechnologyNarashinoJapan

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