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This document presents a study using text mining and natural language processing (NLP) to compare the topics covered by the New York Times and US congressional speeches from January 2020 to April 2021. The analysis reveals that the New York Times news titles more accurately reflect changing hotspot issues, such as the COVID-19 pandemic and the US presidential election, while congressional speeches focus on more stable governmental terms. The research highlights the differences in media coverage and sentimen

Author

BOHR International Journal of Data Mining and Big Data (BIJDMBD)

Language

EN