Exploiting contextual information for fine-grained tweet geolocation
The problem of fine-grained tweet geolocation is to link tweets to their posting venues. We solve this in a learning to rank framework by ranking candidate venues given a test tweet. The problem is challenging as tweets are short and the vast majority are non-geocoded, meaning information is sparse...
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Main Authors: | CHONG, Wen Haw, LIM, Ee Peng |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2017
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3656 https://ink.library.smu.edu.sg/context/sis_research/article/4658/viewcontent/17._May01_2017___Exploiting_Contextual_Information_for_Fine_grained_Tweet_Geolocation__ICWSM17_.pdf |
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Institution: | Singapore Management University |
Language: | English |
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