Sentiment Analysis for Election Campaigns

Report

TABLE OF CONTENTS
Activity 2: Individual Case..............................................................................................................3
Q1: Sentiment Analysis...............................................................................................................3
Q2: Data / Insights Mining..........................................................................................................5
Q3: Ethics....................................................................................................................................6
REFERENCES................................................................................................................................8

Activity 2: Individual Case
Q1: Sentiment Analysis
Using examples from the articles above, and the sentiment analysis lectures, discuss how
sentiment analysis can give your candidate’s election campaign a competitive edge.
Discuss how sentiment analysis can be used to support your candidate’s campaign and
undermine your opponent’s campaign.
Place your response in the space below:
This can be observed from the articles that sentiments can be analysed through the tweets which
were made at the time of US 2020 Presidential election. Social media always play a major role in
such situations of race towards White House as this became the most powerful tool for the
individuals in communicating unconditionally. Twitter especially was used for analysing and
forecasting stock markets, international relations, disease outbreaks and elections. So the
sentiment analysis focussed on the opinions of the people on Twitter which changes towards the
candidates. In this the tweets are collected in which @realDonaldTrump and @JoeBiden are
mentioned. Then, the sentiments are analysed and the positivity/negativity ratio are compared.
This can be evaluated that Donald Trump has more followers with 86.3M followers while the
number of followers of Joe Biden were only 9.8M. Furthermore, this can also be examined that
17.7% of the tweets are positive for Biden while 13.7% for Trump. On the other hand, 39%
tweets were negative for Biden while the other 48% were negative for Trump (Xia, Yue and Liu,
2021). This interprets that the people were more positive towards Biden as compared to Trump.
This can also be evaluated that these views kept changing and the Trump sometimes got positive
tweet than Biden. This reaction was considered to be remarkable (Nugroho, 2021). But overall
the sentiments of the people towards Biden were more positive which can be seen through the
tweets on Twitter.
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