COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets
SJ Malla, PJA Alphonse - Applied Soft Computing, 2021 - Elsevier
Abstract On 11 March 2020, the (WHO) World Health Organization declared COVID-19
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …
g2tmn at constraint@ aaai2021: exploiting CT-BERT and ensembling learning for COVID-19 fake news detection
A Glazkova, M Glazkov, T Trifonov - … on Combating On line Ho st ile …, 2021 - Springer
The COVID-19 pandemic has had a huge impact on various areas of human life. Hence, the
coronavirus pandemic and its consequences are being actively discussed on social media …
coronavirus pandemic and its consequences are being actively discussed on social media …
The surprising performance of simple baselines for misinformation detection
As social media becomes increasingly prominent in our day to day lives, it is increasingly
important to detect informative content and prevent the spread of disinformation and …
important to detect informative content and prevent the spread of disinformation and …
WNUT-2020 task 2: identification of informative COVID-19 english tweets
In this paper, we provide an overview of the WNUT-2020 shared task on the identification of
informative COVID-19 English Tweets. We describe how we construct a corpus of 10K …
informative COVID-19 English Tweets. We describe how we construct a corpus of 10K …
A simple and efficient ensemble classifier combining multiple neural network models on social media datasets in Vietnamese
HD Huynh, HTT Do, K Van Nguyen… - arXiv preprint arXiv …, 2020 - arxiv.org
Text classification is a popular topic of natural language processing, which has currently
attracted numerous research efforts worldwide. The significant increase of data in social …
attracted numerous research efforts worldwide. The significant increase of data in social …
Natural Language Processing for Health System Messages: Deep Transfer Learning Approach to Aspect-Based Sentiment Analysis of COVID-19 Content
M Sun - 2022 - search.proquest.com
Recent efforts in clinical natural language processing research have focused on mining
social media data and other user-generated data relevant to COVID-19. An increasing …
social media data and other user-generated data relevant to COVID-19. An increasing …
A BERTweet-based design for monitoring behaviour change based on five doors theory on coral bleaching campaign
GN Harywanto, JS Veron, D Suhartono - Journal of big Data, 2022 - Springer
Coral reefs are very important ecosystem which are the foundation of all life on this earth, but
now they are under threat. Coral bleaching are happening now at a serious rate and the …
now they are under threat. Coral bleaching are happening now at a serious rate and the …
Covid vaccine sentiment analysis by geographic region
E Nwafor, R Vaughan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In this paper, we provide a sentiment analysis of conversations surrounding Covid-19
vaccine adoption on Twitter. We focus on key regions of the US, particularly urban areas …
vaccine adoption on Twitter. We focus on key regions of the US, particularly urban areas …
[PDF][PDF] NLP-Based Automated Conspiracy Detection for Massive Twitter Datasets
R Akbari - 2023 - duo.uio.no
The COVID-19 pandemic, which affected societies worldwide, and many were compelled to
shut down, also affected social media platforms like Twitter. The COVID-19-related …
shut down, also affected social media platforms like Twitter. The COVID-19-related …
COVID-19 Informative Tweets Identification Through Word-by-Word Lexicon Replacement Using Pretrained Biomedical Corpus
RNM Yousuf - International Conference on Business and Technology, 2021 - Springer
The coronavirus pandemic has contributed toward the prevalence of numerous fake news
and misleading information over the social media especially Twitter. Therefore, a task of …
and misleading information over the social media especially Twitter. Therefore, a task of …