Sentiment is all you need to win US Presidential elections
This work informs election campaigning strategies for communicating to diverse crowds, but it is incremental as it applies existing methods to new data.
The study used NLP to analyze speeches and sentiments of Trump and Biden in the 2020 US Presidential election, examining racial factors to understand victory and defeat.
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.