Investigating topic modeling techniques to extract meaningful insights in Italian long COVID narration
I Scarpino, C Zucco, R Vallelunga, F Luzza… - BioTech, 2022 - mdpi.com
Through an adequate survey of the history of the disease, Narrative Medicine (NM) aims to
allow the definition and implementation of an effective, appropriate, and shared treatment …
allow the definition and implementation of an effective, appropriate, and shared treatment …
Track Iran's national COVID-19 response committee's major concerns using two-stage unsupervised topic modeling
F Kaveh-Yazdy, S Zarifzadeh - International journal of medical informatics, 2021 - Elsevier
Abstract Background Since the World Health Organization (WHO) declared the COVID-19 as
a Public Health Emergency of International Concern (PHEIC) on January 31, 2020 …
a Public Health Emergency of International Concern (PHEIC) on January 31, 2020 …
Topic modelling of swedish newspaper articles about coronavirus: a case study using latent dirichlet allocation method
Topic Modelling (TM) is a natural language processing (NLP) method for discovering topics
in a collection of documents. Being an unsupervised method, it is a valuable tool when trying …
in a collection of documents. Being an unsupervised method, it is a valuable tool when trying …
[HTML][HTML] A review on Natural Language Processing Models for COVID-19 research
This survey paper reviews Natural Language Processing Models and their use in COVID-19
research in two main areas. Firstly, a range of transformer-based biomedical pretrained …
research in two main areas. Firstly, a range of transformer-based biomedical pretrained …
Depression in times of a pandemic–the impact of COVID-19 on the lay discourses of e-mental health communities
The article aims at exploring the impact of the COVID-19 pandemic on the lay discourses of
depression emerging in online mental health forums. The narrative framing of depression …
depression emerging in online mental health forums. The narrative framing of depression …
An infoveillance system for detecting and tracking relevant topics from Italian tweets during the COVID-19 event
The year 2020 opened with a dramatic epidemic caused by a new species of coronavirus
that soon has been declared a pandemic by the WHO due to the high number of deaths and …
that soon has been declared a pandemic by the WHO due to the high number of deaths and …
Comparing topic modeling techniques for identifying informative and uninformative content: A case study on COVID-19 tweets
It is essential to understand what topics related to the COVID19 pandemic forms informative
and uninformative content on social networks instead of general information (which contains …
and uninformative content on social networks instead of general information (which contains …
Trends in COVID-19 publications: streamlining research using NLP and LDA
Background: Research publications related to the novel coronavirus disease COVID-19 are
rapidly increasing. However, current online literature hubs, even with artificial intelligence …
rapidly increasing. However, current online literature hubs, even with artificial intelligence …
[HTML][HTML] Tracking and analysis of discourse dynamics and polarity during the early Corona pandemic in Iran
F Jafarinejad, M Rahimi, H Mashayekhi - Journal of Biomedical Informatics, 2021 - Elsevier
It has not been long since a new disease called COVID-19 has hit the international
community. Unknown nature of the virus, evidence of its adaptability and survival in new …
community. Unknown nature of the virus, evidence of its adaptability and survival in new …
Thematic analysis as a new culturomic tool: the social media coverage on COVID-19 pandemic in Italy
The COVID-19 pandemic influenced people's everyday lives because of the health
emergency and the resulting socio-economic crisis. People use social media to share …
emergency and the resulting socio-economic crisis. People use social media to share …