Mining and Summarizing Public Opinion About the United States Southern Border Wall with Twitter Data

Document Type

Project

Authors

Dave Poortvliet, Grand Valley State University

Lead Author Type

CIS Masters Student

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