  Election speeches play an integral role in communicating the vision and
mission of the candidates. From lofty promises to mud-slinging, the electoral
candidate accounts for all. However, there remains an open question about what
exactly wins over the voters. In this work, we used state-of-the-art natural
language processing methods to study the speeches and sentiments of the
Republican candidate, Donald Trump, and Democratic candidate, Joe Biden,
fighting for the 2020 US Presidential election. Comparing the racial dichotomy
of the United States, we analyze what led to the victory and defeat of the
different candidates. We believe this work will inform the election campaigning
strategy and provide a basis for communicating to diverse crowds.
