Experiencia de lectura de la obra de Fernanda Melchor: análisis de las reseñas en Goodreads

Abstract

Reading experience of social network users is influenced by digital culture. This paper analyzes the reading experience of hundreds of users of the social network Goodreads, by using Natural Language Processing techniques with R programming, applied to the book reviews of the Mexican writer Fernanda Melchor. Directly and inversely frequent words, emotions linked to the reviews, the most relevant lexemes and verbs were found, and a classification of topics was practiced. The results show how readers reflect, in a personal way, on social aspects, such as violence or poverty, giving continuity to the topics addressed by the author herself.