Fine-grained geolocation of tweets in temporal proximity

Fine-grained geolocation of tweets in temporal proximity

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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