Abstract:We capture the public sentiment towards candidates in the 2020 US Presidential Elections, by analyzing 7.6 million tweets sent out between October 31st and November 9th, 2020. We apply a novel approach to first identify tweets and user accounts in our database that were later deleted or suspended from Twitter. We present sentiment analysis of the presidential candidates across these identified posts alongside active ones, and share key insights. The aim is to highlight the importance of conducting sentiment an… Show more
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