A Service-Based System for Sentiment Analysis and Visualization of Twitter Data in Realtime

  • Yehia Taher
  • Rafiqul Haque
  • Mohammed AlShaer
  • Willem Jan v. d. Heuvel
  • Karine Zeitouni
  • Renata Araujo
  • Mohand-Saïd Hacid
  • Mohamed Dbouk
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10380)

Abstract

The existing solutions for sentiment analysis suffer from serious shortcomings to effectively deal with Twitter data as they can merely exploit hashtags. In this demo, we present SANA: a reusable, service-based architecture for dealing with streaming data, analysing this data on the fly taking into account more comprehensive semantics of Tweets, and dynamically monitoring and visualising trends in sentiments through dasbboarding and query facilities.

Keywords

Sentiment analysis Realtime analysis Big data Twitter 

References

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Yehia Taher
    • 1
  • Rafiqul Haque
    • 2
  • Mohammed AlShaer
    • 3
    • 5
  • Willem Jan v. d. Heuvel
    • 4
  • Karine Zeitouni
    • 1
  • Renata Araujo
    • 4
  • Mohand-Saïd Hacid
    • 3
  • Mohamed Dbouk
    • 5
    • 6
  1. 1.DAVID, Université de Versailles Saint-Quentin-en-YvelinesVersaillesFrance
  2. 2.CognitusParisFrance
  3. 3.LIRIS, Université Claude Bernard 1VilleurbanneFrance
  4. 4.ERISSTilburg UniversityTilburgThe Netherlands
  5. 5.Universidade Federal do Rio de JaneiroRio de JaneiroBrazil
  6. 6.Lebanese UniversityBeirutLebanon

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