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Prediction of Population Health Indices from Social Media u..:

, In: Proceedings of the 26th International Conference on World Wide Web Companion,

Nguyen, Thin ; Nguyen, Duc Thanh ; Larsen, Mark E.... - p. 99-107 , 2017

Link: https://dl.acm.org/doi/10.1145/3041021.3054136

RT 
T1 <cTitle>Proceedings of the 26th International Conference on World Wide Web Companion</cTitle>: T1 <Title>Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3054136&Exemplar=1&LAN=DE
				
A1 Nguyen, Thin
A1 Nguyen, Duc Thanh
A1 Larsen, Mark E.
A1 O'Dea, Bridianne
A1 Yearwood, John
A1 Phung, Dinh
A1 Venkatesh, Svetha
A1 Christensen, Helen
PB International World Wide Web Conferences Steering Committee
YR 2017
K1 cognitive computing
K1 feature engineering
K1 geo-referenced tweets
K1 kernel-based features
K1 online texts
K1 population health indices
K1 prediction
K1 temporal information
K1 textual features
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing systems and tools
K1 Social networking sites
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Data streaming
SP 99
OP 107
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3041021.3054136
DO https://dl.acm.org/doi/10.1145/3041021.3054136
SF ELIB - SuUB Bremen

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