Journal
2018 8TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2018)
Volume -, Issue -, Pages 105-108Publisher
IEEE
Keywords
Dengue; Social Media Analytics; Healthcare; Malaysia
Categories
Funding
- Ministry of Higher Education Malaysia [FRGS/1/2016/SS03/MMU/03/4]
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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 fi-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.
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