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Sign upThe science behind AIDR
AIDR is based on supervised machine learning, and described in the following papers and presentations:
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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.
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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.
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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.
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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
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Muhammad Imran, Ioanna Lykourentzou, Carlos Castillo: Engineering Crowdsourced Stream Processing Systems. arXiv pre-print, 2013.
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Carlos Castillo: AIDR's presentation at MicroMappers, Nairobi, Kenya, November 2013.
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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.
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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.
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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.