Title
Mining and Summarizing Public Opinion About the United States Southern Border Wall with Twitter Data
Document Type
Project
Advisors
Dr. Xinli Wang; wangx@gvsu.edu
Embargo Period
5-7-2019
Abstract
With heated debates in the media about the proposed southern border wall in the United States I wanted to better understand how the people living along the US/Mexico border really felt about the wall. My approach to answering this question was to mine large sets of twitter data from the cities along the border and analyze sentiment to understand if opinions on the wall were favorable, unfavorable or neutral. This paper will analyze the four different algorithms I used to determine sentiment and identify the benefits and drawbacks of each.
ScholarWorks Citation
Poortvliet, Dave, "Mining and Summarizing Public Opinion About the United States Southern Border Wall with Twitter Data" (2019). Technical Library. 334.
https://scholarworks.gvsu.edu/cistechlib/334
