Understanding the Pandemic Through Mining Covid News Using Natural Language Processing

Newspaper reports are a daily information tank for the majority of the world. We rely on newspapers as a primary source of information. In this research, we introduce a collection of 1050 news report dataset on COVID-19 from two different countries and used Natural Language Processing techniques to extract knowledge about the virus, including the number of COVID-cases, trending topics per month, sentiment analysis, etc. Moreover, we compared how the virus spreads and impacts a developed country and a developing country. Our curated dataset can be used in various socio-economical studies to understand news media's effect on public awareness.