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Fine-grained location prediction of non geo-tagged tweets ..:
, In:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
,
Abboud, Mohammad
;
Zeitouni, Karine
;
Taher, Yehia
- p. 82-91 , 2022
Link:
https://dl.acm.org/doi/10.1145/3557918.3565875
RT T1 <cTitle>Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery</cTitle>: T1 <Title>Fine-grained location prediction of non geo-tagged tweets : a multi-view learning approach</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3565875&Exemplar=1&LAN=DE A1 Abboud, Mohammad A1 Zeitouni, Karine A1 Taher, Yehia PB ACM YR 2022 K1 location prediction K1 multi-view learning K1 natural language processing K1 social media K1 spatial databases K1 Information systems K1 Information retrieval SP 82 OP 91 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3557918.3565875 DO https://dl.acm.org/doi/10.1145/3557918.3565875 SF ELIB - SuUB Bremen
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