Sentiment Polarity as a Stylistic Feature for Attribution of English Prose
DOI:
https://doi.org/10.32473/flairs.38.1.138726Keywords:
sentiment analysis, authorship attribution, BERT, VADER, TextBlob, prose, English, poetry, ensembleAbstract
In this paper, we expand our exploration the usefulness of sentiment polarity as a stylistic feature for authorship attribution. We briefly describe our methodology and present the results from experiments using three English prose corpora. A comparison with attribution performed using traditional stylistic features on the same corpora is presented along with a brief comparison with prior results on sentiment-polarity-based attribution of poetry. We point out some limitations of our methodology and outline directions for further research.
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Copyright (c) 2025 Lubomir Ivanov

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