[HTML][HTML] Understanding weekly COVID-19 concerns through dynamic content-specific LDA topic modeling
The novelty and global scale of the COVID-19 pandemic has lead to rapid societal changes
in a short span of time. As government policy and health measures shift, public perceptions …
in a short span of time. As government policy and health measures shift, public perceptions …
Exploratory analysis of COVID-19 related tweets in North America to inform public health institutes
Social media is a rich source where we can learn about people's reactions to social issues.
As COVID-19 has significantly impacted on people's lives, it is essential to capture how …
As COVID-19 has significantly impacted on people's lives, it is essential to capture how …
Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron
Topic modelling with innovative deep learning methods has gained interest for a wide range
of applications that includes COVID-19. It can provide, psychological, social and cultural …
of applications that includes COVID-19. It can provide, psychological, social and cultural …
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
The study aims to understand Twitter users' discourse and psychological reactions to COVID-
19. We use machine learning techniques to analyze about 1.9 million Tweets (written in …
19. We use machine learning techniques to analyze about 1.9 million Tweets (written in …
Political and economic patterns in COVID-19 news: From lockdown to vaccination
A Sittar, D Major, C Mello, D Mladenić… - IEEE Access, 2022 - ieeexplore.ieee.org
The purpose of this study is to analyse COVID-19 related news published across different
geographical places, in order to gain insights in reporting differences. The COVID-19 …
geographical places, in order to gain insights in reporting differences. The COVID-19 …
Sentiment analysis and topic modeling for COVID-19 vaccine discussions
The outbreak of the novel coronavirus disease (COVID-19) has been ongoing for almost two
years and has had an unprecedented impact on the daily lives of people around the world …
years and has had an unprecedented impact on the daily lives of people around the world …
[PDF][PDF] Beyond LDA: exploring supervised topic modeling for depression-related language in Twitter
Topic models can yield insight into how depressed and non-depressed individuals use
language differently. In this paper, we explore the use of supervised topic models in the …
language differently. In this paper, we explore the use of supervised topic models in the …
Mining the cause of political decision-making from social media: A case study of COVID-19 policies across the US states
Mining the causes of political decision-making is an active research area in the field of
political science. In the past, most studies have focused on long-term policies that are …
political science. In the past, most studies have focused on long-term policies that are …
Dynamic topic modeling of Twitter data during the COVID-19 pandemic
A Bogdanowicz, CH Guan - Plos one, 2022 - journals.plos.org
In an effort to gauge the global pandemic's impact on social thoughts and behavior, it is
important to answer the following questions:(1) What kinds of topics are individuals and …
important to answer the following questions:(1) What kinds of topics are individuals and …
What public health campaigns can learn from people's Twitter reactions on mask-wearing and COVID-19 vaccines: A topic modeling approach
Topic modeling, which uses machine learning algorithms to identify the emergence of topics,
can help public health professionals monitor online public responses during health crises …
can help public health professionals monitor online public responses during health crises …