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Learning in Twitter Streams with 280 Character Tweets

  • Joana CostaEmail author
  • Catarina Silva
  • Bernardete Ribeiro
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 942)

Abstract

Social networks are a thriving source of information and applications are pervasive. Twitter has recently experienced a significant change in its essence with the doubling of the number of maximum allowed characters from 140 to 280. In this work we study the changes that come from such modification when learning systems are in place. Results on real datasets of both settings show that transferring models between both scenarios may need special treatment, as bigger tweets are harder to classify, making such dynamic environments even more challenging.

Keywords

Social networks Twitter Learning algorithms 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Joana Costa
    • 1
    • 2
    Email author
  • Catarina Silva
    • 1
    • 2
  • Bernardete Ribeiro
    • 2
  1. 1.School of Technology and ManagementPolytechnic Institute of LeiriaLeiriaPortugal
  2. 2.Department of Informatics EngineeringCenter for Informatics and Systems of the University of Coimbra (CISUC)CoimbraPortugal

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