期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2015
卷号：38
期号：2
出版社：IEEE Computer Society
摘要：Social media is immensely popular, with billions of users across various platform. The study of socialmedia has allowed for deeper inquiries into questions posed by computer scientists, social scientists,and others. Social media posts tagged with location have provided means for researchers to performeven deeper analysis into their data. While location information allows for rich insight into socialmedia data, very few posts are explicitly tagged with geographic information. In this work, we beginby introducing some state-of-the-art analysis techniques that can be performed using the location of asocial media post. Next, we introduce some systems that help first responders provide relief with thehelp of the location of social media posts. Finally, we discuss how machine learning techniques canbe applied to infer the location of a social media post, bringing this analysis to any message posted onsocial media.
