TY - GEN
T1 - “It’s modern day presidential! An evaluation of the effectiveness of sentiment analysis tools on president donald trump’s tweets”
AU - Perry, Ann Masterton
AU - Nurmikko-Fuller, Terhi
AU - Nunes, Bernardo Pereira
N1 - Publisher Copyright:
Copyright © 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
PY - 2019
Y1 - 2019
N2 - This paper reports on an evaluation of five commonly used, lexicon-based sentiment analysis tools (Mean-ingCloud, ParallelDots, Repustate, RSentiment for R, SentiStrength), tested for accuracy against a collection of Trump’s tweets spanning from election day November 2016 to one year post inauguration (January 2018). Repustate was found to be the most accurate at 67.53%. Our preliminary analysis suggests that this percentage reflects Trump’s frequent inclusion of both positive and negative sentiments in a single tweet. Additionally to providing an evaluative comparison of sentiment analysis tools, a summary of shared features of a number of existing datasets containing Twitter content along with a comprehensive discussion is also provided.
AB - This paper reports on an evaluation of five commonly used, lexicon-based sentiment analysis tools (Mean-ingCloud, ParallelDots, Repustate, RSentiment for R, SentiStrength), tested for accuracy against a collection of Trump’s tweets spanning from election day November 2016 to one year post inauguration (January 2018). Repustate was found to be the most accurate at 67.53%. Our preliminary analysis suggests that this percentage reflects Trump’s frequent inclusion of both positive and negative sentiments in a single tweet. Additionally to providing an evaluative comparison of sentiment analysis tools, a summary of shared features of a number of existing datasets containing Twitter content along with a comprehensive discussion is also provided.
KW - Donald trump
KW - POTUS
KW - Sentiment analysis
KW - Sentiment analysis tools
KW - Social media
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85067430240&partnerID=8YFLogxK
U2 - 10.5220/0007759306440651
DO - 10.5220/0007759306440651
M3 - Conference contribution
T3 - ICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems
SP - 632
EP - 639
BT - ICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems
A2 - Filipe, Joaquim
A2 - Smialek, Michal
A2 - Brodsky, Alexander
A2 - Hammoudi, Slimane
PB - SciTePress
T2 - 21st International Conference on Enterprise Information Systems, ICEIS 2019
Y2 - 3 May 2019 through 5 May 2019
ER -