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"It's Modern Day Presidential! An Evaluation of the Effectiveness of Sentiment Analysis Tools on President Donald Trump's Tweets"

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Authors

Masterton Perry, Ann
Nurmikko-Fuller, Terhi
Nunes, Bernardo Pereira

Journal Title

Journal ISSN

Volume Title

Publisher

SciTePress

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.

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Citation

Source

Proceedings of the 21st International Conference on Enterprise Information Systems (ICEIS 2019)

Book Title

Proceedings of the 21st International Conference on Enterprise Information Systems (ICEIS 2019)

Entity type

Access Statement

Open Access

License Rights

CC BY-NC-ND 4.0

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