Report
A Computational Approach to Style in American Poetry
| العنوان: | A Computational Approach to Style in American Poetry |
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| المؤلفون: | Kaplan, David M., Blei, David M. |
| المصدر: | Seventh IEEE International Conference on Data Mining (ICDM 2007), Omaha, NE, USA, 2007, pp. 553-558 |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, J.5, I.2.7 |
| الوصف: | We develop a quantitative method to assess the style of American poems and to visualize a collection of poems in relation to one another. Qualitative poetry criticism helped guide our development of metrics that analyze various orthographic, syntactic, and phonemic features. These features are used to discover comprehensive stylistic information from a poem's multi-layered latent structure, and to compute distances between poems in this space. Visualizations provide ready access to the analytical components. We demonstrate our method on several collections of poetry, showing that it better delineates poetry style than the traditional word-occurrence features that are used in typical text analysis algorithms. Our method has potential applications to academic research of texts, to research of the intuitive personal response to poetry, and to making recommendations to readers based on their favorite poems. Comment: accepted manuscript; see doi for version of record |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/ICDM.2007.76 |
| URL الوصول: | http://arxiv.org/abs/2310.09357 |
| رقم الانضمام: | edsarx.2310.09357 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/ICDM.2007.76 |
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