Fine-grained geolocation of tweets in temporal proximity

• Main Authors: CHONG, Wen Haw, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Tweet geolocation; temporal proximity; staying behavior; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/4325; https://ink.library.smu.edu.sg/context/sis_research/article/5328/viewcontent/Fine_grained_Tweets_afv.pdf
• Institution: Singapore Management University

In fine-grained tweet geolocation, tweets are linked to the specific venues (e.g., restaurants, shops) fromwhich they were posted. This explicitly recovers the venue context that is essential for applications such aslocation-based advertising or user profiling. For this geolocation task, we focus on...