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Authors: Ann Masterton Perry 1 ; Terhi Nurmikko-Fuller 1 and Bernardo Pereira Nunes 2

Affiliations: 1 Australian National University, Canberra and Australia ; 2 Pontifical Catholic University of Rio de Janeiro, Brazil, Federal University of the State of Rio de Janeiro and Brazil

Keyword(s): Sentiment Analysis, Social Media, Donald Trump, POTUS, Twitter, Sentiment Analysis Tools.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Web 2.0 and Social Networking Controls ; Web Information Systems and Technologies

Abstract: This paper reports on an evaluation of five commonly used, lexicon-based sentiment analysis tools (MeaningCloud, 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Perry, A.; Nurmikko-Fuller, T. and Nunes, B. (2019). “It’s Modern Day Presidential! An Evaluation of the Effectiveness of Sentiment Analysis Tools on President Donald Trump’s Tweets”. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-372-8; ISSN 2184-4984, SciTePress, pages 644-651. DOI: 10.5220/0007759306440651

@conference{iceis19,
author={Ann Masterton Perry. and Terhi Nurmikko{-}Fuller. and Bernardo Pereira Nunes.},
title={“It’s Modern Day Presidential! An Evaluation of the Effectiveness of Sentiment Analysis Tools on President Donald Trump’s Tweets”},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2019},
pages={644-651},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007759306440651},
isbn={978-989-758-372-8},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - “It’s Modern Day Presidential! An Evaluation of the Effectiveness of Sentiment Analysis Tools on President Donald Trump’s Tweets”
SN - 978-989-758-372-8
IS - 2184-4984
AU - Perry, A.
AU - Nurmikko-Fuller, T.
AU - Nunes, B.
PY - 2019
SP - 644
EP - 651
DO - 10.5220/0007759306440651
PB - SciTePress