{"title":"\"It's Modern Day Presidential! An Evaluation of the Effectiveness of Sentiment Analysis Tools on President Donald Trump's Tweets\"","authors":"A. Perry, Terhi Nurmikko-Fuller, B. Nunes","doi":"10.5220/0007759306440651","DOIUrl":null,"url":null,"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.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Enterprise Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0007759306440651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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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