Related papers: Disaster Tweets Classification using BERT-Based Language Model

Disaster Tweets Classification using BERT-Based Language Model

URL: http://arxiv.org/abs/2202.00795v1
Date: Mon, 31 Jan 2022 10:25:29 GMT
Title: Disaster Tweets Classification using BERT-Based Language Model
Authors: Anh Duc Le
Abstract summary: Social networking services have become an important communication channel in time 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.
Score: 6.700873164609009
License: http://creativecommons.org/licenses/by/4.0/
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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