Mining Of Clustering Algorithm In The Field Of Hot Spot Events In Sports Culture

Yasha Shetty, Xianhou Chang () and Bo Chang
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Yasha Shetty: Institute of Sports Science & Technology, Pune, India
Xianhou Chang: Huainan Normal University, Anhui 232038, China
Bo Chang: Huainan United University, Anhui 232038, China

Malaysian Sports Journal (MSJ), 2019, vol. 1, issue 1, 14-16

Abstract: In order to explore the application of clustering algorithm in the sports culture with focus on public opinion, based on the analysis of experimental results data from artificial corpus and web crawler corpus, more reasonable parameters were determined for clustering, and the artificial test result of the execution of the algorithm is also checked. The results show that the CEW algorithm can achieve good results in mining the core keywords of online hot events. It also proves that the clustering algorithm performs well in accuracy rate, but it needs to improve in its recall rate.

Keywords: Clustering algorithm; sports culture; public opinion hot spot issues; mining. (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnmsj:v:1:y:2019:i:1:p:14-16

DOI: 10.26480/msj.01.2019.14.16

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