Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States …

C Luo, A Chen, B Cui, W Liao - Telematics and Informatics, 2021 - Elsevier
The development and uptake of the COVID-19 (coronavirus disease 2019) vaccine is a top
priority in stifling the COVID-19 pandemic. How the public perceives the COVID-19 vaccine …

Information systems for vaccine safety surveillance

JP Buttery, H Clothier - Human Vaccines & Immunotherapeutics, 2022 - Taylor & Francis
Immunization implementation in the community relies upon post-licensure vaccine safety
surveillance to maintain safe vaccination programs and to detect rare AEFI not observed in …

[HTML][HTML] Vaccine adverse event mining of Twitter conversations: 2-phase classification study

S Khademi Habibabadi, P Delir Haghighi… - JMIR Medical …, 2022 - medinform.jmir.org
Background Traditional monitoring for adverse events following immunization (AEFI) relies
on various established reporting systems, where there is inevitable lag between an AEFI …

Analysis and classification of vaccine dialogue in the coronavirus era

N Paul, SS Gokhale - … Conference on Big Data (Big Data), 2020 - ieeexplore.ieee.org
As the coronavirus tears through our global community, the world pins its hopes on the
expedient availability of a safe and effective vaccine. In the US, however, mere mention of …

Latent Semantic Analysis based Real-world Application of Topic Modeling: A Review Study

I Gupta, I Chatterjee, N Gupta - 2022 Second International …, 2022 - ieeexplore.ieee.org
Today, we are living in the digital world. Much information is available on the internet about|
every topic. But merely the availability of information is not enough. There is a need for …

Real-time kafka-based topic modeling and identification of tweets

G Manias, A Mavrogiorgou, A Kiourtis… - … on Progress in …, 2021 - ieeexplore.ieee.org
The tremendous growth, popularity, and usage of social media in modern societies has led
to the production of an enormous real-time volume of social texts and posts, including …

Visualizing change and correlation of topics with LDA and agglomerative clustering on COVID-19 vaccine tweets

BS Lin - IEEE Access, 2023 - ieeexplore.ieee.org
More than three years have passed since the COVID-19 outbreak. The end of the pandemic
is in sight, and even some countries have declared COVID-19 as endemic. During the …

Social-child-case document clustering based on topic modeling using latent Dirichlet allocation

NA Tresnasari, TB Adji… - … (Indonesian Journal of …, 2020 - journal.ugm.ac.id
Children are the future of the nation. All treatment and learning they get would affect their
future. Nowadays, there are various kinds of social problems related to children. To ensure …

Monitoring the perception of Covid-19 vaccine using topic models

SS Gokhale - 2020 IEEE Intl Conf on Parallel & Distributed …, 2020 - ieeexplore.ieee.org
Despite the unprecedented international collaboration to develop a Covid-19 vaccine at
lightning speed, concerns remain whether the vaccine will be embraced by the population at …

[HTML][HTML] Exploring the expression differences between professionals and laypeople toward the COVID-19 vaccine: Text mining approach

C Luo, K Ji, Y Tang, Z Du - Journal of Medical Internet Research, 2021 - jmir.org
Background COVID-19 is still rampant all over the world. Until now, the COVID-19 vaccine is
the most promising measure to subdue contagion and achieve herd immunity. However …