SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis

  • Hassan Saif
  • Maxim Bashevoy
  • Steve Taylor
  • Miriam Fernandez
  • Harith Alani
Conference paper

DOI: 10.1007/978-3-319-47602-5_28

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9989)
Cite this paper as:
Saif H., Bashevoy M., Taylor S., Fernandez M., Alani H. (2016) SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis. In: Sack H., Rizzo G., Steinmetz N., Mladenić D., Auer S., Lange C. (eds) The Semantic Web. ESWC 2016. Lecture Notes in Computer Science, vol 9989. Springer, Cham

Abstract

Sentiment analysis over social streams offers governments and organisations a fast and effective way to monitor the publics’ feelings towards policies, brands, business, etc. In this paper we present SentiCircles, a platform that captures feedback from social media conversations and applies contextual and conceptual sentiment analysis models to extract and summarise sentiment from these conversations. It provides a novel sentiment navigation design where contextual sentiment is captured and presented at term/entity level, enabling a better alignment of positive and negative sentiment to the nature of the public debate.

Keywords

Social media Sentiment analysis 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Hassan Saif
    • 1
  • Maxim Bashevoy
    • 2
  • Steve Taylor
    • 2
  • Miriam Fernandez
    • 1
  • Harith Alani
    • 1
  1. 1.Knowledge Media InstituteOpen UniversityMilton KeynesUK
  2. 2.IT Innovation CentreUniversity of SouthamptonSouthamptonUK

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