Computing psycholinguistic analysis by examining topic modelling and sentiment analysis during COVID-19: changes in wording and emotions for public health
Sandra Figueiredo
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 lev… Show more
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