Analysis of Emotions in Real-time Twitter Streams

Abstract

 The purpose of this paper is to present EmoTwitter 2.0, a system for visualizing discussions and emotions of Twitter users in real time over a specific geographical location. The system, given location information as input, streams users’ tweets posted in real time using the Twitter API. In addition, using content analysis, it extracts and visualizes the most frequent words and emotional content of the streamed tweets. Through demonstrations of potential use cases and testing, the system has shown to have practical applicability. It provides an opportunity to easily visualize and compare the discussions of people on Twitter in certain geographical locations, which can be useful, for instance, in targeted messaging.

Authors

  • Yuki Kobayashi The University of Aizu
  • Myriam Munezero University of Eastern Finland, Joensuu, Finland
  • Maxim Mozgovoy The University of Aizu

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Published

12/23/2016

How to Cite

Kobayashi, Y., Munezero, M., & Mozgovoy, M. (2016). Analysis of Emotions in Real-time Twitter Streams. Informatica, 40(4). Retrieved from https://www.informatica.si/index.php/informatica/article/view/1462

Issue

Vol. 40 No. 4 (2016)

Section

Special issue papers

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