Abstract: Newspapers are trustworthy media where people get the most reliable and
credible information compared with other sources. On the other hand, social
media often spread rumors and misleading news to get more traffic and
attention. Careful characterization, evaluation, and interpretation of
newspaper data can provide insight into intrigue and passionate social issues
to monitor any big social incidence. This study analyzed a large set of
spatio-temporal Bangladeshi newspaper data related to the COVID-19 pandemic.
The methodology included volume analysis, topic analysis, automated
classification, and sentiment analysis of news articles to get insight into the
COVID-19 pandemic in different sectors and regions in Bangladesh over a period
of time. This analysis will help the government and other organizations to
figure out the challenges that have arisen in society due to this pandemic,
what steps should be taken immediately and in the post-pandemic period, how the
government and its allies can come together to address the crisis in the
future, keeping these problems in mind.