Prediction of population health indices from social media using kernel-based textual and temporal features

Nguyen, Thin, Nguyen, Duc Thanh, Larsen, Mark E, O'Dea, Bridianne, Yearwood, John Leighton, Phung, Dinh, Venkatesh, Svetha and Christensen, Helen 2017, Prediction of population health indices from social media using kernel-based textual and temporal features, in WWW 2017 : Proceedings of the 26th International World Wide Web Conference 2017, International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, pp. 99-107, doi: 10.1145/3041021.3054136.

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Title Prediction of population health indices from social media using kernel-based textual and temporal features
Author(s) Nguyen, ThinORCID iD for Nguyen, Thin orcid.org/0000-0003-3467-8963
Nguyen, Duc Thanh
Larsen, Mark E
O'Dea, Bridianne
Yearwood, John LeightonORCID iD for Yearwood, John Leighton orcid.org/0000-0002-7562-6767
Phung, DinhORCID iD for Phung, Dinh orcid.org/0000-0002-9977-8247
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Christensen, Helen
Conference name International World Wide Web Conferences Committee. Conference (26th : 2017 : Perth, W.A.)
Conference location Perth, W.A.
Conference dates 2017/04/03 - 2017/04/07
Title of proceedings WWW 2017 : Proceedings of the 26th International World Wide Web Conference 2017
Editor(s) [Unknown]
Publication date 2017
Series International World Wide Web Conferences Committee Conference
Start page 99
End page 107
Total pages 9
Publisher International World Wide Web Conferences Steering Committee
Place of publication Republic and Canton of Geneva, Switzerland
Keyword(s) cognitive computing
feature engineering
prediction
population health indices
textual features
temporal information
kernel-based features
geo-referenced tweets
online texts
ISBN 9781450349147
Language eng
DOI 10.1145/3041021.3054136
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2017, International World Wide Web Conference Committee (IW3C2)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30120928

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
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