MINING OF CLUSTERING ALGORITHM IN THE FIELD OF HOT SPOT EVENTS IN SPORTS CULTURE

Journal: Malaysian Sports Journal (MSJ)
Author: Yasha Shetty, Xianhou Chang, Bo Chang

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi: 10.26480/msj.01.2019.14.16

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.