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arXiv · 2202.00795

Disaster Tweets Classification using BERT-Based Language Model

Anh Duc Le
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Abstract

Social networking services have became an important communication channel in time of emergency. The aim of this study is to create a machine learning language model that is able to investigate if a person or area was in danger or not. The ubiquitousness of smartphones enables people to announce an emergency they are observing in real-time. Because of this, more agencies are interested in programmatically monitoring Twitter (i.e. disaster relief organizations and news agencies). Design a language model that is able to understand and acknowledge when a disaster is happening based on the social network posts will become more and more necessary over time.

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BibTeXRIS

Anh Duc Le. 2022-01-31. Disaster Tweets Classification using BERT-Based Language Model. https://arxiv.org/abs/2202.00795

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