SIR MODEL TO PORTRAY SENTIMENT AND POPULARITY DYNAMICS OF DONALD TRUMP
Donald Trump is one of those figures who always has a knack for provoke controversies. Understanding sentiment and popularity dynamics of Donald Trump on the verge of United States’ 2020 Presidential Election can help the campaign team in devising campaign strategies. In this final project, modif...
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id-itb.:494612020-09-16T13:11:08ZSIR MODEL TO PORTRAY SENTIMENT AND POPULARITY DYNAMICS OF DONALD TRUMP Tantiono, Valensio Indonesia Final Project Donald Trump, SIR, Twitter, Google Trends INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/49461 Donald Trump is one of those figures who always has a knack for provoke controversies. Understanding sentiment and popularity dynamics of Donald Trump on the verge of United States’ 2020 Presidential Election can help the campaign team in devising campaign strategies. In this final project, modified SIR models were built to portray sentiment and popularity dynamics of Donald Trump. Furthermore, this final project also seeks to find which parameters that have significants impact on the sentiment and popularity of Donald Trump. The model formulation process used data from Google Trends and also Twitter that have been preprocessed using sentiment analysis. From this project, it can be concluded that there are a couple of parameters that have significant effects on the dynamics, which are boredom rate, infection probability, and positive or negative news by mass media. text |
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Institut Teknologi Bandung |
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Institut Teknologi Bandung Library |
| continent |
Asia |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Digital ITB |
| language |
Indonesia |
| description |
Donald Trump is one of those figures who always has a knack for provoke
controversies. Understanding sentiment and popularity dynamics of Donald Trump
on the verge of United States’ 2020 Presidential Election can help the campaign
team in devising campaign strategies. In this final project, modified SIR models
were built to portray sentiment and popularity dynamics of Donald Trump.
Furthermore, this final project also seeks to find which parameters that have
significants impact on the sentiment and popularity of Donald Trump. The model
formulation process used data from Google Trends and also Twitter that have been
preprocessed using sentiment analysis. From this project, it can be concluded that
there are a couple of parameters that have significant effects on the dynamics, which
are boredom rate, infection probability, and positive or negative news by mass
media. |
| format |
Final Project |
| author |
Tantiono, Valensio |
| spellingShingle |
Tantiono, Valensio SIR MODEL TO PORTRAY SENTIMENT AND POPULARITY DYNAMICS OF DONALD TRUMP |
| author_facet |
Tantiono, Valensio |
| author_sort |
Tantiono, Valensio |
| title |
SIR MODEL TO PORTRAY SENTIMENT AND POPULARITY DYNAMICS OF DONALD TRUMP |
| title_short |
SIR MODEL TO PORTRAY SENTIMENT AND POPULARITY DYNAMICS OF DONALD TRUMP |
| title_full |
SIR MODEL TO PORTRAY SENTIMENT AND POPULARITY DYNAMICS OF DONALD TRUMP |
| title_fullStr |
SIR MODEL TO PORTRAY SENTIMENT AND POPULARITY DYNAMICS OF DONALD TRUMP |
| title_full_unstemmed |
SIR MODEL TO PORTRAY SENTIMENT AND POPULARITY DYNAMICS OF DONALD TRUMP |
| title_sort |
sir model to portray sentiment and popularity dynamics of donald trump |
| url |
https://digilib.itb.ac.id/gdl/view/49461 |
| _version_ |
1822928191562448896 |