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  • 标题:Predicting The Cricket Match Outcome Using Crowd Opinions On Social Networks: A Comparative Study Of Machine Learning Methods
  • 本地全文:下载
  • 作者:Raza Ul Mustafa ; M. Saqib Nawaz ; M. Ikram Ullah Lali
  • 期刊名称:Malaysian Journal of Computer Science
  • 印刷版ISSN:0127-9084
  • 出版年度:2017
  • 卷号:30
  • 期号:1
  • 出版社:University of Malaya * Faculty of Computer Science and Information Technology
  • 摘要:Social media has become a platform of first choice where one can express his/her feelings with freedom. The sports and matches being played are also discussed on social media such as Twitter. In this article, efforts are made to investigate the feasibility of using collective knowledge obtained from microposts posted on Twitter to predict the winner of a Cricket match. For predictions, we use three different methods that depend on the total number of tweets before the game for each team, fans sentiments toward each team and fans score predictions on Twitter. By combining these three methods, we classify winning team prediction in a Cricket game before the start of game. Our results are promising enough to be used for winning team forecast. Furthermore, the effectiveness of supervised learning algorithms is evaluated where Support Vector Machine (SVM) has shown advantage over other classifiers.
  • 关键词:Pattern Recognition; Cricket; Twitter; Sentimental Analysis; Opinion Mining
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