Resources for Research on Humanitarian Computing
The following resources are made available to research communities to advance research on humanitarian and crisis computing by developing new Natural Language Processing (NLP) techniques and computational methods useful for humanitarian efforts.
RESOURCE # 1
This resource consists of Twitter data collected during 19 natural and man-made disasters. Each dataset contains crisis-related tweets, human-labeled tweets, dictionaries of out-of-vocabulary(OOV) words, word2vec embeddings, and other related tools. Please cite the following article, if you use any of these resources in your research.
Muhammad Imran, Prasenjit Mitra, and Carlos Castillo: Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages.
In Proceedings of the 10th Language Resources and Evaluation Conference (LREC), pp. 1638-1643. May 2016, Portorož, Slovenia. [Bibtex
Resource details and downloading
RESOURCE # 2
This resource consists of manually labeled tweets collected during the 2012 Hurricane Sandy and the 2011 Joplin tornado. Please cite the following article, if you use this resource in your research.
Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, and Patrick Meier. Practical Extraction of Disaster-Relevant Information from Social Media.
In Proceedings of the 22nd international conference on World Wide Web companion, May 2013, Rio de Janeiro, Brazil. [Bibtex
» Download dataset
RESOURCE # 3
This resource consists of tweets collected during the 2011 Joplin tornado and labeled into humanitarina categories. Please cite the following article, if you use this resource in your research.
Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, and Patrick Meier. Extracting Information Nuggets from Disaster-Related Messages in Social Media.
In Proceedings of the 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2013, Baden-Baden, Germany. [Bibtex
» Download dataset
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For inquiries, issues, feedback, or collaborations, contact: Muhammad Imran