Measuring the impact of social drive across social media forums: a case study of COVID-19

被引:0
作者
Mahmoud Oglah Al Hasan Baniata
Sohail Asghar
机构
[1] COMSAT University,Department of Computer Science
来源
Multimedia Tools and Applications | 2022年 / 81卷
关键词
Social media; Facebook; Sentiments; Machine learning; COVID19;
D O I
暂无
中图分类号
学科分类号
摘要
Users considered Social media forums like Facebook, Twitter and blogs as the most prominent social networks in the present age, where users share their views quickly in words and respond to feedback from other users within no time. This study aims to: measure the impact of influencing factors on a particular community when social media forums promote it using a machine learning model. In this research work, we performed an association rule-based method to measure the impact of COVID-19 influencing factors on adolescence when they promoted it on social media. The proposed method gave a remarkable output when we compared it with the different existing approaches. It works well in all respective fields we observed. Last but not least, when compared with survey and official results, the proposed method predicts well, and the obtained results are pretty promising.
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收藏
页码:10777 / 10795
页数:18
相关论文
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