Unknown

Dataset Information

Topic modelling and sentiment analysis during COVID-19 revealed emotions changes for public health.


ABSTRACT: Between 2020 and 2022, lockdown and restraining measures as a result of the COVID-19 pandemic led to changes in daily routines and also in language usage. At certain points during the pandemic, populations in some countries were unwilling or unlikely to respond to government messages, either because of the tone and analytic discourse used by leaders, or because they did not understand the messages. Linguistic markers and meanings were therefore linked to low levels of engagement, negative emotions and high levels of analytical thinking, especially in relation to the discourses of influential international leaders. We subjected sixteen speeches by eight country leaders to topic modelling and sentiment analysis in order to understand how the psychological functions of language were affected

SUBMITTER: Figueiredo S 

PROVIDER: S-EPMC11496542 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature