Disaster Tweets Classification using BERT-Based Language Model

Autor:	Le, Anh Duc
Rok vydání:	2022
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: arXiv admin note: text overlap with arXiv:2102.12162 by other authors
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2202.00795 Zobrazit plný text záznamu View this record from Arxiv