Fiction vs Non-Fiction Genre Classification: Classical Readability Metrics vs BERT

This paper compares classical readability metrics with a BERT-based approach for classifying texts as fiction versus non-fiction, evaluating how well each method performs on genre-detection tasks. It describes the use of readability features versus a modern transformer model, and reports classification performance outcomes to assess relative effectiveness. A key limitation is that the document content provided does not include the study’s experimental details, dataset characteristics, or reported metrics, so the specific quantitative results and caveats stated by the authors cannot be verified from the provided text. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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