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Sentiment Analysis of Children and Youth Literature: Is There a Pollyanna Effect?

Arthur M. Jacobs, J. Berenike Herrmann, Gerhard Lauer, Jana Lüdtke, Sascha Schroeder

2020Frontiers in Psychology36 citationsDOIOpen Access PDF

Abstract

If the words of natural human language possess a universal positivity bias, as assumed by Boucher and Osgood’s (1969) famous Pollyanna hypothesis and computationally confirmed for large text corpora in several languages (Dodds et al., 2015), then children and youth literature (CYL) should also show a Pollyanna effect. Here we tested this prediction applying a vector space model- based sentiment analysis tool called SentiArt (Jacobs, 2019) to two CYL corpora, one in English (372 books) and one in German (500 books). Pitching our analysis at the sentence level, and assessing semantic as well as lexico-grammatical information, bBoth corpora show the Pollyanna effect and thus add further evidence to the universality hypothesis. The results of our multivariate sentiment analyses provide interesting testable predictions for future scientific studies of literature.

Topics & Concepts

Sentiment analysisSentenceGermanNatural language processingPsychologyArtificial intelligenceLinguisticsUniversality (dynamical systems)Computer sciencePhilosophyPhysicsQuantum mechanicsSentiment Analysis and Opinion MiningHumor Studies and ApplicationsLanguage, Metaphor, and Cognition
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