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Towards a Disease Outbreak Notification Framework Using Twitter Mining for Smart Home Dashboards

机译:使用Twitter挖掘用于智能家居仪表盘的疾病爆发通知框架

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摘要

Disease outbreaks are becoming a primary concern for many countries due to the recent cases of MERS, Ebola to name a few. Preventive measures can be taken into account when proper information about an outbreak is disseminated among the masses. Social media plays a crucial role during disease outbreaks. Saudi Arabia topped worldwide in terms of twitter usage. There are number of issues related to mining twitter for disease information including, filtering noisy information, establishing dictionary of terms to be used, sentiment analysis and establishing authenticity. In this project, we plan to develop a framework for mining and extracting information from twitter related to disease outbreaks. The system makes use of numerous programming interfaces as part of the framework to identify and notify the user of pertinent health related issues in a geographical area of interest. The framework is part of a smart home dashboard system that notifies the user about disease outbreak information. The smart home dashboard provides an effective human-home collaboration interface to the user.
机译:由于近期发生了许多中东呼吸综合征病例,埃博拉等疾病已成为许多国家关注的主要疾病。在群众中散布有关暴发的适当信息时,可以考虑采取预防措施。社交媒体在疾病暴发期间起着至关重要的作用。沙特阿拉伯在推特使用方面居全球首位。与挖掘Twitter以获得疾病信息相关的问题很多,包括过滤噪音信息,建立要使用的术语词典,情感分析和建立真实性。在这个项目中,我们计划开发一个框架,用于从Twitter挖掘和提取与疾病暴发相关的信息。该系统利用众多编程接口作为框架的一部分,以在感兴趣的地理区域中识别并向用户通知与健康相关的问题。该框架是智能家居仪表板系统的一部分,该系统向用户通知疾病爆发信息。智能家居仪表板为用户提供了有效的人-居协作界面。

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