What is it about?
Words such as 'violence' or 'justice' obviously evoke quite different emotions. In this paper, I show how large amounts of data can automatically be analyzed for such emotion words. I exemplify this approach using the campaign speeches of the two main candidates of the 2016 US presidential election.
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Why is it important?
Most automatic sentiment analyses of texts only employ a simple positive-negative polarity to classify emotions. The present approach uses a more fine-grained and psychologically more plausible automatic analysis. The program used detects words related to eight basic human emotions (joy, sadness, anger, fear, trust, disgust, anticipation and surprise) and thus provides a far more detailed analysis of the emotions evoked by both politicians.
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This page is a summary of: “Too many Americans are trapped in fear, violence and poverty”: a psychology-informed sentiment analysis of campaign speeches from the 2016 US Presidential Election, Linguistics Vanguard, January 2018, De Gruyter,
DOI: 10.1515/lingvan-2017-0008.
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