E-055 Estimating Outbreak of Influenza Like Diseases Using Social Media
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概要
- 論文の詳細を見る
Early detection of the onset and outbreak of influenza like contiguous diseases followed by timely intervention by authorities with rapid response can greatly reduce the damage caused by them. Unfortunately, until now actual data arrives in the hands of authorities with a lag time of ten days to two weeks. In this research we have used social media, namely Twitter, to predict the state of such disease outbreak by analyzing tweets made by the members of the community. We have used natural language processing techniques to identify and quantify flu related tweets from normal tweets.
- FIT(電子情報通信学会・情報処理学会)運営委員会の論文
- 2011-09-07
著者
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Sezaki Kaoru
Institute Of Industrial Science (iis) The University Of Tokyo
-
Iwai Masayuki
Institute Of Industrial Science The University Of Tokyo
-
Khan Muhammad
Institute of Industrial Science, The University of Tokyo
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Iwai Masayuki
Institute of Industri al Science University ofTokyo
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