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With the proliferation of GPS-equipped mobile devices, notably smartphones, massive volumes of geo-located, or geo-tagged, text content are becoming available. For example, Foursquare hosts over 105 million locations around the world with over 12 billion check-ins (https://foursquare.com/ about accessed January 2018), where each location is associated with both a geographical location and text content and similarly each check-in is also associated with a location and text. Facebook also supports location check-ins. We refer to such data as geo-textual, or spatio-textual, data. Other examples of such data include points of interest (POIs) with descriptive text, geo-tagged microblog posts (e.g., tweets), geo-tagged photos with text tags (e.g., as found at Flickr and Instagram), geo-tagged news, and geo-tagged web pages. Spatio-textual data can be divided into (i) streaming spatio-textual data that arrives at a high rate,...
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Cong, G., Jensen, C.S. (2019). Spatio-textual Data. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_68
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