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TweetCric: A Twitter-Based Accountability Mechanism for Cricket

  • Arjumand Younus
  • M. Atif Qureshi
  • Naif R. Aljohani
  • Derek Greene
  • Michael P. O’Mahony
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10360)

Abstract

This paper demonstrates a Web service called TweetCric to uncover cricket insights from Twitter with the aim of facilitating sports analysts and journalists. It essentially arranges crowdsourced Twitter data about a team in comprehensive visualizations by incorporating domain-specific approaches to sentiment analysis.

Keywords

Sentiment Analysis Social Media Data Sentiment Score Sentiment Word Query Module 
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 AG 2017

Authors and Affiliations

  • Arjumand Younus
    • 1
  • M. Atif Qureshi
    • 1
  • Naif R. Aljohani
    • 2
  • Derek Greene
    • 1
  • Michael P. O’Mahony
    • 1
  1. 1.Insight Centre for Data AnalyticsUniversity College DublinDublinIreland
  2. 2.Faculty of Computing and Information TechnologyKing Abdul Aziz UniversityJeddahSaudi Arabia

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