Sentiments of the 2016 Election on Twitter
Delenn, C., Anna, Z., Jessica, Z. (2016). Analysing Twitter Sentiment of the 2016 Presidential Candidates.
The paper analyses the sentiments of the 2016 election on twitter. It begins with an introduction which explains the definition of various terms like election, Democracy and what twitter does. They define election as empowering citizens to choose their leaders and Democracy as the government of the people, for the people, and by the people. According to the paper, the public sentiments towards the candidates will influence who wins the election. The main focus of the paper is identified in the introduction as analysing the public views towards the top election candidates; Ben Carson, Donald Trump, Bernie Sanders, and Hillary Clinton. The scope of the paper are the tweets regarding the presidential election and the candidates. The main method used in data collection is the API which was used to download the data. The findings indicate that out of all the candidates, Donald Trump had the highest number of sad emojis and the least happy emojis.
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