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Detecting seasonal diseases through twitter and Natural Language processing

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Research Question: Does the change in the frequency of words appearance in texts inform on seasonal events associated to illness?

Objective: Assess the variation of word frequency over six years to identify seasonal trends.

Approach: A set of common words associated to illness were used to assess the text; Monthly frequency of words were assessed across each year and frequecy profile among years compared to assess occurrence of “events”.

NZBIDA



Funding

MBIE SSIF New Zealand Bioeconomy in the Digital Age (NZBIDA)

History

Rights statement

This is an open-access output. It may be copied and distributed in any medium or format in unadapted form only, provided the original author and source are credited.

Publication date

2022-12-06

Project number

  • PRJ0126328

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

AgResearch Ltd

Conference name

8th One Health Aotearoa Symposium 2022

Conference location

Wellington, New Zealand

Conference start date

2022-12-06

Conference end date

2022-12-07

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