Sentiment Polarity as a Stylistic Feature for Attribution of English Prose
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.
Authors
- Lubomir Ivanov (ORCID: https://orcid.org/0000-0002-8180-5542)
Institutions
- Iona College (US)
Publication Details
- Journal
- Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
- Published
- 2025-05-14
- DOI
- https://doi.org/10.32473/flairs.38.1.138726
- Primary Topic
- Language, Metaphor, and Cognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00