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Text Mining from Social Media for Public Health Applications

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Public Health is crucial to manage and monitor threats to the health of the population. In recent years, Twitter has been successfully applied to monitor diseases through its ability to provide near real-time data and proved to be an asset to the domain. This research aims to further explore capabilities of Twitter in the disease surveillance field by focusing on its geolocation feature and health mentions, identifiable through disease-specific language patterns present in Twitter messages.
Conference Name: 
7th International Digital Health Conference
Proceedings: 
Proceedings of the 2017 International Conference on Digital Health
Digital Object Identifer (DOI): 
10.1145/3079452.3079475
Publication Date: 
05/07/2017
Conference Location: 
United Kingdom (excluding Northern Ireland)
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No