Description
This project analyzes the tweets from the 2016 US Presidential Candidates' personal Twitter accounts. The goal is to define distinct patterns and differences between candidates and parties use of social media as a platform. The data spans the period of September 2015 to March 2016, which was during the primary races for the Republicans and Democrats. The overall purpose of this project is to contribute to finding new ways of driving value from social media, in particular Twitter.
Copyright Statement
Details
Title
- Value of Twitter: Using Text Mining Methods to Gain Insight into the 2016 Presidential Race
Contributors
- Mortimer, Schuyler Kenneth (Author)
- Simon, Alan (Thesis director)
- Mousavi, Seyedreza (Committee member)
- Department of Information Systems (Contributor)
- Department of Supply Chain Management (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2016-05
Resource Type
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