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	PREDICTING THE CRICKET MATCH OUTCOME USING CROWD OPINIONS ON SOCIAL NETWORKS: A COMPARATIVE STUDY OF MACHINE LEARNING METHODS
	Mustafa, Raza Ul ; Nawaz, M. Saqib ; Lali, M. Ikram Ullah ; Zia, Tehseen ; Mehmood, Waqar
	2017
关键词	Pattern Recognition Cricket Twitter Sentimental Analysis Opinion Mining SYSTEMS
英文摘要	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.; SCI(E); ARTICLE; 1; 63-76; 30
语种	英语
出处	SCI
出版者	MALAYSIAN JOURNAL OF COMPUTER SCIENCE
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/476093]
专题	数学科学学院
推荐引用方式 GB/T 7714	Mustafa, Raza Ul,Nawaz, M. Saqib,Lali, M. Ikram Ullah,et al. PREDICTING THE CRICKET MATCH OUTCOME USING CROWD OPINIONS ON SOCIAL NETWORKS: A COMPARATIVE STUDY OF MACHINE LEARNING METHODS. 2017-01-01.

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