NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities
| Autor: | Ritam Dutt, Saptarshi Ghosh, Kaustubh Hiware, Sohan Patro, Sayan Sinha, Kripabandhu Ghosh |
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| Rok vydání: | 2020 |
| Předmět: |
Social and Information Networks (cs.SI)
FOS: Computer and information sciences Matching (statistics) Resource (project management) Computer science Microblogging Social media Computer Science - Social and Information Networks Data science Information Retrieval (cs.IR) Task (project management) Computer Science - Information Retrieval |
| Zdroj: | SocialNLP@ACL |
| DOI: | 10.48550/arxiv.2005.13524 |
| Popis: | 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. Comment: ACL 2020 Workshop on Natural Language Processing for Social Media (SocialNLP) |
| Databáze: | OpenAIRE |
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