The science behind AIDR
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AIDR is based on supervised machine learning, and described in the following papers and presentations:
Muhammad Imran, Patrick Meier, Carlos Castillo, Andre Lesa and Manuel Garcia Herranz: Enabling Digital Health by Automatic Classification of Short Messages. Short paper to appear in ACM Digital Health 2016.
Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, and Sarah Vieweg: AIDR: Artificial Intelligence for Disaster Response. International Conference on World Wide Web (WWW), 2014. Seoul, Korea.
Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, and Jakob Rogstadius: Coordinating Human and Machine Intelligence to Classify Microblog Communications in Crises. In proceedings of the ISCRAM'14. Pennsylvania, USA.
Muhammad Imran and Carlos Castillo. Towards a Data-driven Approach to Identify Crisis-Related Topics in Social Media Streams. Social Web for Disaster Management (SWDM) at WWW2015, Florence. Italy
Muhammad Imran, Ioanna Lykourentzou, Carlos Castillo: Engineering Crowdsourced Stream Processing Systems. arXiv pre-print, 2013.
Carlos Castillo: AIDR's presentation at MicroMappers, Nairobi, Kenya, November 2013.
Muhammad Imran, and Carlos Castillo: Volunteer-powered Automatic Classification of Social Media Messages for Public Health in AIDR. In Public Health in the Digital Age workshop in WWW 2014. Seoul, Korea.
Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz and Patrick Meier: Practical Extraction of Disaster-Relevant Information from Social Media. In SWDM. Rio de Janeiro, Brazil, 2013.
Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz and Patrick Meier: Extracting Information Nuggets from Disaster-Related Messages in Social Media. In ISCRAM. Baden-Baden, Germany, 2013. Best paper award slides.
For a detailed survey on different computational techniques developed to process and analyze social media data, see the following survey paper (accepted in ACM Computing Surveys journal):
Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg: Processing Social Media Messages in Mass Emergency: A Survey. ACM Computing Surveys journal, 2015.