Abstract
The central focus of our study is to apply a computer-based sentiment analysis on twitter data on the U.S.-Mexico border wall. we want to be able to validate the results from traditional polling method and also create a pointer for decision making. From our results, we were able to show that a computer-based sentiment analysis is as valid as a traditional base method on topics such as the considered for the study. Our results compared favorably with the results obtained by organizations who did a polling survey on the issue. Also, we were able to visualize our results to present a clear picture of the sentiments trend.
Recommended Citation
Easter, J., Yang, Q., Daches, C., Yu, W. B., & Claybaugh, C. C. (2019). The U.S. - Mexico Border Wall - A Sentiment Analysis. Issues in Information Systems, 20(4), pp. 123-129. Issues in Information Systems.
The definitive version is available at https://doi.org/10.48009/4_iis_2019_123-129
Department(s)
Business and Information Technology
Keywords and Phrases
Sentiment Analysis; Text mining; Twitter
International Standard Serial Number (ISSN)
1529-7314
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Issues in Information Systems, All rights reserved.
Publication Date
01 Jan 2019
