NDLI: Chinese social media analysis for disease surveillance

Content Provider	Springer Nature Link
Author	Cui, Xiaohui Yang, Nanhai Wang, Zhibo Hu, Cheng Zhu, Weiping Li, Hanjie Ji, Yujie Liu, Cheng
Copyright Year	2015
Abstract	It is reported that there are hundreds of thousands of deaths caused by seasonal flu all around the world every year. More other diseases such as chickenpox, malaria, etc. are also serious threats to people’s physical and mental health. There are 250,000–500,000 deaths every year around the world. Therefore proper techniques for disease surveillance are highly demanded. Recently, social media analysis is regarded as an efficient way to achieve this goal, which is feasible since growing number of people have been posting their health information on social media such as blogs, personal websites, etc. Previous work on social media analysis mainly focused on English materials but hardly considered Chinese materials, which hinders the application of such technique to Chinese people. In this paper, we proposed a new method of Chinese social media analysis for disease surveillance. More specifically, we compared different kinds of methods in the process of classification and then proposed a new way to process Chinese text data. The Chinese Sina micro-blog data collected from September to December 2013 are used to validate the effectiveness of the proposed method. The results show that a high classification precision of 87.49 % in average has been obtained. Comparing with the data from the authority, Chinese National Influenza Center, we can predict the outbreak time of flu 5 days earlier.
Starting Page	1125
Ending Page	1132
Page Count	8
File Format	PDF
ISSN	16174909
Journal	Personal Technologies
Volume Number	19
Issue Number	7
e-ISSN	16174917
Language	English
Publisher	Springer London
Publisher Date	2015-09-11
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Social media Chinese SVMLIGHT Classification Prediction Flu User Interfaces and Human Computer Interaction Computer Science Personal Computing Mobile Computing
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Library and Information Sciences Computer Science Applications Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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