Summary of the paper

Title Visualization of the occurrence trend of infectious diseases using Twitter
Authors Ryusei Matsumoto, Minoru Yoshida, Kazuyuki Matsumoto, Hironobu Matsuda and Kenji Kita
Abstract We propose a system for visualizing the epidemics of infectious diseases. We apply factuality analysis both to disease detection and location estimation for accurate visualization. We tested our methods for several infectious diseases, and show that our method performs well on various diseases.
Topics Social Media Processing, Information Extraction, Information Retrieval, Tools, Systems, Applications
Full paper Visualization of the occurrence trend of infectious diseases using Twitter
Bibtex @InProceedings{MATSUMOTO18.298,
  author = {Ryusei Matsumoto and Minoru Yoshida and Kazuyuki Matsumoto and Hironobu Matsuda and Kenji Kita},
  title = "{Visualization of the occurrence trend of infectious diseases using Twitter}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  language = {english}
  }
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