Individuación de autoría e identificación de estilo: análisis de obras literárias com R
DOI:
https://doi.org/10.5007/1984-8412.2022.e79086Resumen
Este artículo se suma a los trabajos disponibles sobre procesamiento del lenguaje natural al proporcionar una demostración de cómo los lenguajes de programación como R (R CORE TEAM, 2020) pueden ser útiles para detectar la autoría e identificar el estilo del autor en obras literarias. Se seleccionaron dos autores y dos obras de cada uno, a saber: The Adventures of Tom Sawyer (1876) y Adventures of Huckleberry Finn (1884) del autor Mark Twain (1835-1910), y Typee: A Peep at Polynesian Life (1846) y Omoo: A Narrative of Adventures in the South Seas (1847) del autor Herman Melville (1819-1891). Posteriormente, los datos se analizaron utilizando la misma metodología que Eder et al. (2016), con el fin de probar la efectividad del paquete stylo y aplicar los métodos de Análisis de Componentes Principales, Análisis de Cluster y Árbol de Consenso. Los resultados mostraron que cada uno de los métodos probados fue capaz de distinguir los trabajos de los autores, evidenciando así la efectividad del paquete utilizado. Además, se realiza un análisis estilométrico basado en los métodos de Zeta de Craig y Rolling Delta. Para esto último, se utilizaron obras de dos autores de habla alemana, Frank Kafka y Heinrich von Kleist. Los resultados apuntan a una similitud estilística de von Kleist, sobre todo, en la primera obra de Kafka. Además, el método Rolling Delta fue utilizado para explorar un análisis de Juola (2013ª, 2013b) sobre una obra de J. K. Rowling escrita bajo el seudónimo de Robert Galbraith.
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