  The COVID-19 pandemic has led to the emergence of Long COVID, a cluster of
symptoms that persist after infection. Long COVID patients may also experience
mental health challenges, making it essential to understand individuals'
emotional and mental well-being. This study aims to gain a deeper understanding
of Long COVID individuals' emotional and mental well-being, identify the topics
that most concern them, and explore potential correlations between their
emotions and social media activity. Specifically, we classify tweets into four
categories based on the content, detect the presence of six basic emotions, and
extract prevalent topics. Our analyses reveal that negative emotions dominated
throughout the study period, with two peaks during critical periods, such as
the outbreak of new COVID variants. The findings of this study have
implications for policy and measures for addressing the mental health
challenges of individuals with Long COVID and provide a foundation for future
work.
