Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario -- identifying resource-needs and resource-availabilities in the disaster-affected region, coupled with their subsequent matching. To this end, we present NARMADA, a semi-automated platform which leverages the crowd-sourced information from social media posts for assisting post-disaster relief coordination efforts. The system employs Natural Language Processing and Information Retrieval techniques for identifying resource-needs and resource-availabilities from microblogs, extracting resources from the posts, and also matching the needs to suitable availabilities. The system is thus capable of facilitating the judicious management of resources during post-disaster relief operations.
@article{arxiv.2005.13524,
title = {NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities},
author = {Kaustubh Hiware and Ritam Dutt and Sayan Sinha and Sohan Patro and Kripabandhu Ghosh and Saptarshi Ghosh},
journal= {arXiv preprint arXiv:2005.13524},
year = {2021}
}
Comments
ACL 2020 Workshop on Natural Language Processing for Social Media (SocialNLP)