… public health emergency (ie, the COVID-19 epidemic), aiming to reveal the … machine learning
techniques. Then, we extracted the post topics with LDA model and decided the emotional …

… [Methods] First, we added sentiment and time features to the LDA model to create the new
… Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United …

… media posts during the COVID-19 pandemic, aiming to reveal … [Methods] Firstly, we utilized
the Latent Dirichlet Allocation (… We also found two different types of topics indicating reasons …

… This study concludes with a discussion of findings, a future … Basic emotion theory is another
emotions-focused theory, but not … Particularly, the recent pandemic (Covid-19) has led many …

… a framework combining multiple deep learning models. Then, … many factors, and the emotional
content of politicians’ tweets … dynamic political sentiments from massive Twitter text data. …

… saliency theory in our analysis of the main emotional errors during previous epidemics and
… results of control measures, discussing the effects of geographical characteristics on the …

… used, it is divided into sentiment analysis based on emotional … Twitter discussions and
concerns about COVID-19 pandemic:Twitter data analysis using a machine learning approach[J].…

… methods in major public health events: Take COVID-19 … 则分 析了埃博拉疫情影响下的
Twitter数据中积极与消 极情感的比例,… 2 The mean distribution of COVID-19 related emotions in …

… The study employed the mixed-method approach to gain in-… opportunities during the
pandemic COVID-19, this study was … media, ie, Facebook, Instagram, Twitter, Line, and others, to …