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A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media
May 3, 2024, 4:14 a.m. | Ayaz Mehmood, Muhammad Tayyab Zamir, Muhammad Asif Ayub, Nasir Ahmad, Kashif Ahmad
cs.CL updates on arXiv.org arxiv.org
Abstract: Over the last decade, similar to other application domains, social media content has been proven very effective in disaster informatics. However, due to the unstructured nature of the data, several challenges are associated with disaster analysis in social media content. To fully explore the potential of social media content in disaster informatics, access to relevant content and the correct geo-location information is very critical. In this paper, we propose a three-step solution to tackling these …
abstract analysis application arxiv assessment challenges cs.cl data disaster disasters domains however media modeling natural natural disasters nature recognition social social media solution topic modeling type unstructured
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