Text Mining and Real-Time Analytics of Twitter Data: A Case Study of Australian Hay Fever Prediction

Download
Full text for this resource is not available from the Research Repository.
Export

Subramani, Sudha ORCID: 0000-0002-8102-0278, Michalska, Sandra, Wang, Hua ORCID: 0000-0002-8465-0996, Whittaker, Frank ORCID: 0000-0002-3728-0291 and Heyward, B (2018) Text Mining and Real-Time Analytics of Twitter Data: A Case Study of Australian Hay Fever Prediction. In: 7th International Conference on Health Information Science (HIS 2018), 5th October 2018 - 7th October 2018, Cairns, QLD, Australia.

Dimensions Badge

Altmetric Badge

Additional Information

Lecture Notes in Computer Science, vol 11148
Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/38106
DOI 10.1007/978-3-030-01078-2_12
Official URL https://link.springer.com/chapter/10.1007%2F978-3-...
ISBN 9783030010775
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords Tweets; social media; data mining; knowledge discovery; machine learning
Citations in Scopus 9 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)