Citation

Kannan, Rathimala and Govindasamy, Menagaeswary and Ramakrishnan, Kannan and Soon, Lay Ki (2019) Social Media Analytics for Dengue Monitoring in Malaysia. In: 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018, 23 -25 November 2018, Penang, Malaysia.

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Abstract

Social Media provides the ability to have preventative and reactive information widely available thus enabling the detection of public healthcare problems such as disease outbreaks at an early stage. Identifying public opinions about dengue fever will be an interesting point of reference to understand the sentiments shared by people. The aim of this paper is to study how Malaysians are actually tweeting and reacting to dengue related information. The research methodology includes data collection from social media, specifically Twitter, pre-processing, feature extraction and application of topic modelling techniques to determine the topics that are shared in tweets related to dengue information. This paper shows the preliminary results obtained from the data analysis which enhances our understanding about dengue related tweets and the users' preferences. Since using social media has become a part of daily routine for most of the Malaysians living in urban areas, it is a timely call to explore social media as a potential tool to disseminate real-time information about dengue monitoring and prevention.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Dengue, social media analytics, ehalthcare, Malaysia
Subjects:	R Medicine > RA Public aspects of medicine > RA421-790.95 Public health. Hygiene. Preventive medicine
Divisions:	Faculty of Computing and Informatics (FCI) Faculty of Management (FOM)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	08 Feb 2022 02:20
Last Modified:	08 Feb 2022 02:20
URII:	http://shdl.mmu.edu.my/id/eprint/9064

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