Malaysian Journal of Computer Science (ISSN 0127-9084)
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Title:Predicting The Cricket Match Outcome Using Crowd Opinions On Social Networks: A Comparative Study Of Machine Learning Methods
Auhtor(s): Raza Ul Mustafa,M. Saqib Nawaz,M. Ikram Ullah Lali,Tehseen Zia,Waqar Mehmood,
Journal:Malaysian Journal of Computer Science (ISSN 0127-9084)
Volume:30, No 1
Year:2017
Keywords:Pattern Recognition, Cricket, Twitter, Sentimental Analysis, Opinion Mining
Abstract: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.
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