Amuleto by Roberto Bolaño, a comparative stylistic analysis with computational tools.

This paper employs computational tools to substantiate qualitative interpretations of Roberto Bolaño’s Amuleto, comparing it to Nocturno de Chile by the same author and Relato de un náufrago by Gabriel García Márquez.Firstly, the efficacy of displaying the 100 Most Frequent Words (MfWs) in a WordCloud for capturing the main themes of the novels is investigated. Findings suggest that WordClouds are effective for gaining a general sense of a book's content when the author’s style is more standard.Secondly, the study applies Type-Token Ratio (TTR) and Standardized TTR (STTR) metrics to determine if the stylistic redundancy highlighted in Amuleto adversely affects lexical variety. Results contradict the hypothesis, prompting a discussion on the utility of STTR in literary analysis and proposing further studies on repetition distribution in the novel.Thirdly, the paper presents data that highlight a specific stylistic feature in the two Bolaño novels: the frequent repetition of proper nouns related to people and places. An analysis of Named Entity (NE) frequency and distribution reveals that tokens labeled as persons (PER) and locations (LOC) are significantly more frequent in Amuleto and Nocturno de Chile compared to Relato de un náufrago, marking a distinctive narrative style.