  Researches about COVID-19 has increased largely, no matter in the biology
field or the others. This research conducted a text analysis using LDA topic
model. We firstly scraped totally 1127 articles and 5563 comments on SCMP
covering COVID-19 from Jan 20 to May 19, then we trained the LDA model and
tuned parameters based on the Cv coherence as the model evaluation method. With
the optimal model, dominant topics, representative documents of each topic and
the inconsistence between articles and comments are analyzed. 3 possible
improvements are discussed at last.
