Mining Expertise Using Social Media Analytics

被引:0
|
作者
Al Kubaizi, Razan [1 ]
Al-Otaibi, Shaha [1 ]
Al Washigry, Batoul [1 ]
Al Suhaim, Emtnan [1 ]
Al Sughayer, Jumanah [1 ]
Al Jumaiah, Ruqayiah [1 ]
机构
[1] Princess Nourah Bint Abdulrahman Univ, Coll Comp & Informat Sci, Dept Informat Syst, Riyadh, Saudi Arabia
关键词
Herbal medicine; Data mining; Social media analytics; Classification; Sentiment Analysis; Statistic; Visualization;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the growth of technology and the facilitation of services, technology has simplified reaching and sharing information. One of the most important technology advancement is the fast growth of social media platforms that became invaluable media in the hand of people. While, people can share their opinions about services and products in public and with their social circles. However, it is massive amounts of unstructured data that is difficult to extract meaningful information out of them. Such data can be extracted from social media to support personal decisions. Social media analytics can take insights out of data and analyze its sentiment rather than just reading and counting text. This article aims to collect Prophet Mohammed Peace Be Upon Him sayings about using herbs in medications. Additionally, we will apply the social media analytics to get perceptions from people's experiments, trials, successes and failure stories on herbs.
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页数:5
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