Visualization of the occurrence trend of infectious diseases using Twitter
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- MATSUMOTO Ryusei
- Tokushima University
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- YOSHIDA Minoru
- Tokushima University
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- MATUMOTO Kazuyuki
- Tokushima University
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- KITA Kenji
- Tokushima University
Bibliographic Information
- Other Title
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- Twitterを用いた感染症発生動向の視覚化
Abstract
<p>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.</p>
Journal
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- JSAI Technical Report, Type 2 SIG
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JSAI Technical Report, Type 2 SIG 2017 (AM-15), 08-, 2017-03-03
The Japanese Society for Artificial Intelligence
- Tweet
Details 詳細情報について
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- CRID
- 1390289225021747072
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- NII Article ID
- 130008080110
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- ISSN
- 24365556
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Allowed