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TweeNLP
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Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction
Hayate ISO
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Shoko WAKAMIYA
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Eiji ARAMAKI
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
Visualization of the occurrence trend of infectious diseases using Twitter
Ryusei Matsumoto
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Minoru Yoshida
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Kazuyuki Matsumoto
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Hironobu Matsuda
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Kenji Kita
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Multivariate Linear Regression of Symptoms-related Tweets for Infectious Gastroenteritis Scale Estimation
Ryo Takeuchi
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Hayate Iso
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Kaoru Ito
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Shoko Wakamiya
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Eiji Aramaki
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Classification of Tweets about Reported Events using Neural Networks
Kiminobu Makino
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Yuka Takei
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Taro Miyazaki
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Jun Goto
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http://sociocom.jp/
http://nlp.ist.i.kyoto-u.ac.jp/index.php?JUMAN
http://go.nature.com/29ATqc9
Field Of Study
Task
Event Detection
Language
Japanese
Dataset
News
Social Media
Twitter
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