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This is a Quantitative Study study.

September 17, 2025Open Access

What makes a novel timeless?

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Machine learning identifies key features distinguishing timeless novels from best-sellers, suggesting predictive potential.

Models achieved approximately 70% classification accuracy in distinguishing timeless novels from best-sellers.
Key features of timeless books included fewer social words and more plural pronouns and words per sentence.
Analysis utilized two corpora of novels published between 1909 and 1923 for machine learning-based predictions.
Findings suggest word usage can be a valuable indicator of a novel's enduring popularity.

Wang et al. (2025) studied this question.

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