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Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter
Eiji ARAMAKI
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Sachiko MASKAWA
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Mizuki MORITA
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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland, UK.
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
A Self-adaptive Classifier for Efficient Text-stream Processing
Naoki Yoshinaga
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Masaru Kitsuregawa
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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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Detecting Heavy Rain Disaster from Social and Physical Sensor
Tomoya Iwakura
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Seiji Okajima
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Nobuyuki Igata
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Kunihiro Takeda
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Yuzuru Yamakage
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Naoshi Morita
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Identifying Event-related Bursts via Social Media Activities
Xin Zhao
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Baihan Shu
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Jing Jiang
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Yang Song
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Hongfei Yan
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Xiaoming Li
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Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews
Jun Seok Kang
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Polina Kuznetsova
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Michael Luca
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Yejin Choi
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#SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns
Dong Nguyen
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Tijs van den Broek
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Claudia Hauff
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Djoerd Hiemstra
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Michel Ehrenhard
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Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction
Tao Ding
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Warren K. Bickel
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Shimei Pan
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A Framework for Public Health Surveillance
Andrew Yates
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Jon Parker
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Nazli Goharian
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Ophir Frieder
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Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests
Takakazu Imada
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Yusuke Inoue
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Lei Chen
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Syunya Doi
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Tian Nie
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Chen Zhao
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Takehito Utsuro
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Yasuhide Kawada
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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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Separating Fact from Fear: Tracking Flu Infections on Twitter
Alex Lamb
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Michael J. Paul
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Mark Dredze
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Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster
István Varga
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Motoki Sano
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Kentaro Torisawa
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Chikara Hashimoto
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Kiyonori Ohtake
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Takao Kawai
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Jong-Hoon Oh
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Stijn De Saeger
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Exploiting Social Media for Natural Language Processing: Bridging the Gap between Language-centric and Real-world Applications
Simone Paolo Ponzetto
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Andrea Zielinski
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Who caught a cold ? - Identifying the subject of a symptom
Shin Kanouchi
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Mamoru Komachi
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Naoaki Okazaki
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Eiji Aramaki
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Hiroshi Ishikawa
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Disease Event Detection based on Deep Modality Analysis
Yoshiaki Kitagawa
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Mamoru Komachi
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Eiji Aramaki
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Naoaki Okazaki
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Hiroshi Ishikawa
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Incorporating Dialectal Variability for Socially Equitable Language Identification
David Jurgens
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Yulia Tsvetkov
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Dan Jurafsky
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TJP: Identifying the Polarity of Tweets from Contexts
Tawunrat Chalothorn
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Jeremy Ellman
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Quantifying Mental Health Signals in Twitter
Glen Coppersmith
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Mark Dredze
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Craig Harman
|
A Corpus Study for Identifying Evidence on Microblogs
Paul Reisert
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Junta Mizuno
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Miwa Kanno
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Naoaki Okazaki
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Kentaro Inui
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Real Time Early-stage Influenza Detection with Emotion Factors from Sina Microblog
Xiao Sun
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Jiaqi Ye
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Fuji Ren
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From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses
Glen Coppersmith
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Mark Dredze
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Craig Harman
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Kristy Hollingshead
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Location Name Disambiguation Exploiting Spatial Proximity and Temporal Consistency
Takashi Awamura
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Daisuke Kawahara
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Eiji ARAMAKI
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Tomohide Shibata
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Sadao Kurohashi
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Triaging Mental Health Forum Posts
Arman Cohan
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Sydney Young
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Nazli Goharian
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Japanese Text Normalization with Encoder-Decoder Model
Taishi Ikeda
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Hiroyuki Shindo
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Yuji Matsumoto
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Identifying and Categorizing Disaster-Related Tweets
Kevin Stowe
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Michael J. Paul
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Martha Palmer
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Leysia Palen
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Kenneth Anderson
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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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Improving Classification of Twitter Behavior During Hurricane Events
Kevin Stowe
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Jennings Anderson
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Martha Palmer
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Leysia Palen
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Ken Anderson
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Detecting Diabetes Risk from Social Media Activity
Dane Bell
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Egoitz Laparra
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Aditya Kousik
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Terron Ishihara
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Mihai Surdeanu
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Stephen Kobourov
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Using Author Embeddings to Improve Tweet Stance Classification
Adrian Benton
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Mark Dredze
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http://twitter.com/
http://www.cdc.gov/flu/weekly/
http://www.google.org/flutrends/
http://nlp.kuee.kyoto-u.ac.jp/nl-resource/juman.html
http://www.google.org/flutrends/
http://mednlp.jp/influ/
http://mednlp.jp/~aramaki/KAZEMIRU/
http://mednlp.jp/influ/
Field Of Study