JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Visualization of the occurrence trend of infectious diseases using Twitter
Ryusei MATSUMOTOMinoru YOSHIDAKazuyuki MATUMOTOKenji KITA
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RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2017 Volume 2017 Issue AM-15 Pages 08-

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Abstract

The purpose of this research is to extract comments on infectious diseases from Twitter and to create an infection map.As a method,we check the facts of the extracted utterance,extract the past tweets of the infected person from the result,and estimate the place where the person lives.We used SVMs both for the fact check and place estimation.

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