Text Mining and Real-Time Analytics of Twitter Data: A Case Study of Australian Hay Fever Prediction
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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, Ben (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.
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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 |
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