Openly accessible

Tweetluenza: predicting flu trends from twitter data

Alkouz, Balsam, Aghbari, Zaher Al and Abawajy, Jemal Hussein 2019, Tweetluenza: predicting flu trends from twitter data, Big data mining and analytics, vol. 2, no. 4, pp. 273-287, doi: 10.26599/bdma.2019.9020012.

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Title Tweetluenza: predicting flu trends from twitter data
Author(s) Alkouz, Balsam
Aghbari, Zaher Al
Abawajy, Jemal HusseinORCID iD for Abawajy, Jemal Hussein orcid.org/0000-0001-8962-1222
Journal name Big data mining and analytics
Volume number 2
Issue number 4
Start page 273
End page 287
Total pages 15
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2019-12
ISSN 2096-0654
Keyword(s) Twitter data analysis
Influenza forecasting
prediction using social media
social media mining
Language eng
DOI 10.26599/bdma.2019.9020012
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143116

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.