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引用次数: 1
摘要
本文报告了对五种常用的基于词典的情感分析工具(meancloud, ParallelDots, Repustate, RSentiment for R, SentiStrength)的评估，并对特朗普从2016年11月选举日到就职后一年(2018年1月)的推文进行了准确性测试。repstate的准确率最高，为67.53%。我们的初步分析表明，这一比例反映了特朗普经常在一条推文中同时包含积极和消极情绪。除了提供情感分析工具的评估比较外，还提供了包含Twitter内容的许多现有数据集的共享特征摘要以及全面的讨论。
"It's Modern Day Presidential! An Evaluation of the Effectiveness of Sentiment Analysis Tools on President Donald Trump's Tweets"
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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