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

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.

Full text for this resource is not available from the Research Repository.
Item Type: Conference or Workshop Item (Paper)
ISBN: 9783030010775
Additional Information:

Lecture Notes in Computer Science, vol 11148

Uncontrolled Keywords: Tweets; social media; data mining; knowledge discovery; machine learning
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 14 Mar 2019 23:03
Last Modified: 09 Aug 2019 00:56
URI: http://vuir.vu.edu.au/id/eprint/38106
DOI: https://doi.org/10.1007/978-3-030-01078-2_12
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Citations in Scopus: 1 - View on Scopus

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