Completion Date
Fall 10-15-2017
Document Type
Dissertation
Degree Name
Master of Science (MS)
Program or Discipline Name
Analytics
First Advisor
Professor Dr. Rand Ford
Second Advisor
Professor Phil Grim
Third Advisor
Mark Newman
Abstract
The aim of this study is to identify patterns in President Trump’s approval in the
Twitter universe through Social Media and Sentiment Analysis, and compare
against scientific polling to get meaningful insights on the limitations of Social
Media Analytics. For the purposes for this exercise, results from scientific polling
will be considered the true measure of approval, and will be used as control. In
order to perform sentiment analysis, we have used supervisory learning using
Naive Bayes Classifier algorithm which produced 0.862667 accuracy levels.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Venkataraman, S., & Venkataraman, S. (2017). Presidential Job Approval Rating Analysis Through Social Media. Retrieved from https://digitalcommons.harrisburgu.edu/anms_dandt/5
Included in
American Politics Commons, Analysis Commons, Leadership Studies Commons, Science and Technology Studies Commons, Social Policy Commons
Comments
The Naïve Bayes classifier has produced sentiment results almost equivalent to
President job approval rating company’s results. The trends and spikes in the
graph for both approval rating point and sentiment factors are the reflection of
some of the major events, criticism that happened in the last 3 weeks of time
27
which are related to Hurricane Maria, attack on North Korea and tax reforms. The
trend between approval rating points and Twitter Sentiments are almost trending
in line with each other.
The Twitter Sentiment results are almost trending with some of the key Approval
Rating Company’s reports such as Rasmussen Reports, Gallup Reports, Morning
Consult and ISPOS for Approval and Disapproval ratings This indicates that there
is a scope to understand President Job approval rating in real time using Twitter
Sentiments. Also, there is a possibility for the President and Republicans to
influence the approval rating results by sending right signals to the public through
social media.