Discovering Location Information in Social Media

نویسندگان

  • Fred Morstatter
  • Huiji Gao
  • Huan Liu
چکیده

Social media is immensely popular, with billions of users across various platform. The study of social media 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 perform even deeper analysis into their data. While location information allows for rich insight into social media data, very few posts are explicitly tagged with geographic information. In this work, we begin by introducing some state-of-the-art analysis techniques that can be performed using the location of a social media post. Next, we introduce some systems that help first responders provide relief with the help of the location of social media posts. Finally, we discuss how machine learning techniques can be applied to infer the location of a social media post, bringing this analysis to any message posted on social media.

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عنوان ژورنال:
  • IEEE Data Eng. Bull.

دوره 38  شماره 

صفحات  -

تاریخ انتشار 2015