COVID-19 surveillance through Twitter using self-supervised and few shot learning
B Lwowski, P Najafirad - Proceedings of the 1st Workshop on NLP …, 2020 - aclanthology.org
Public health surveillance and tracking virus via social media can be a useful digital tool for
contact tracing and preventing the spread of the virus. Nowadays, large volumes of COVID …
contact tracing and preventing the spread of the virus. Nowadays, large volumes of COVID …
COVID-19 Surveillance through Twitter using Self-Supervised Learning and Few Shot Learning
B Lwowski, P Najafirad - 2020 - openreview.net
Public health surveillance and tracking virus via social media can be a useful digital tool for
contact tracing and preventing the spread of the virus. Nowadays, large volumes ofCOVID …
contact tracing and preventing the spread of the virus. Nowadays, large volumes ofCOVID …
Few-shot learning for identification of covid-19 symptoms using generative pre-trained transformer language models
K Jiang, M Zhu, GR Bernard - Joint European Conference on Machine …, 2022 - Springer
Since the onset of the COVID-19 pandemic, social media users have shared their personal
experiences related to the viral infection. Their posts contain rich information of symptoms …
experiences related to the viral infection. Their posts contain rich information of symptoms …
Comparative micro blogging news analysis on the covid-19 pandemic scenario
Abstract The coronavirus outbreak (COVID-19) was followed by a significant number of false
and unreliable content, particularly on a social media forum like Twitter, Facebook, or news …
and unreliable content, particularly on a social media forum like Twitter, Facebook, or news …
Mining coronavirus (covid-19) posts in social media
N Karisani, P Karisani - arXiv preprint arXiv:2004.06778, 2020 - arxiv.org
World Health Organization (WHO) characterized the novel coronavirus (COVID-19) as a
global pandemic on March 11th, 2020. Before this and in late January, more specifically on …
global pandemic on March 11th, 2020. Before this and in late January, more specifically on …
An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US
Abstract The World Health Organization (WHO) declared on 11th March 2020 the spread of
the coronavirus disease 2019 (COVID-19) a pandemic. The traditional infectious disease …
the coronavirus disease 2019 (COVID-19) a pandemic. The traditional infectious disease …
Evaluation of hybrid unsupervised and supervised machine learning approach to detect self-reporting of COVID-19 symptoms on Twitter
With over 127 million cases globally, the COVID-19 pandemic marks a sentinel event in
global health. However, true case estimations have been elusive due to lack of testing and …
global health. However, true case estimations have been elusive due to lack of testing and …
UPennHLP at WNUT-2020 Task 2: Transformer models for classification of COVID19 posts on Twitter
A Magge, V Pimpalkhute, D Rallapalli… - Proceedings of the …, 2020 - aclanthology.org
Increasing usage of social media presents new non-traditional avenues for monitoring
disease outbreaks, virus transmissions and disease progressions through user posts …
disease outbreaks, virus transmissions and disease progressions through user posts …
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions
MM Bishal, MRH Chowdory, A Das… - arXiv preprint arXiv …, 2024 - arxiv.org
The COVID-19 pandemic has had adverse effects on both physical and mental health.
During this pandemic, numerous studies have focused on gaining insights into health …
During this pandemic, numerous studies have focused on gaining insights into health …
Classification of COVID-19 tweets using deep learning classifiers
M Deva Priya, M Saranya, N Sharaha… - … Conference on Recent …, 2022 - Springer
Abstract Coronavirus (COVID-19) is a major threat to the country. People get scared on
seeing the posts related to COVID-19 on the social media. This paper focusses on this issue …
seeing the posts related to COVID-19 on the social media. This paper focusses on this issue …