Exploiting user and venue characteristics for fine-grained tweet geolocation

• Main Authors: CHONG, Wen Haw, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Tweet geolocation; Learning to rank; Spatial homophily; Spatial focus; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/4077; https://ink.library.smu.edu.sg/context/sis_research/article/5080/viewcontent/Exploit_Fine_Grained_Tweet_Geolocation_2017_afv.pdf
• Institution: Singapore Management University

Which venue is a tweet posted from? We call this a fine-grained geolocation problem. Given an observed tweet, the task is to infer its discrete posting venue, e.g., a specific restaurant. This recovers the venue context and differs from prior work, which geolocats tweets to location coordinates or c...