Travel literature has captured humanity’s imagination ever since the emergence of famous works such as The Wonders of The World by Marco Polo and The Journal of Christopher Columbus. Authors in this genre must process large and diverse volumes of data (visual, sensory, and written) obtained on their trips, before synthesizing it humanly in such a way as to move and communicate personally with the reader, without losing the factual nature of the story. This is the ultimate goal of the natural language processing (NLP) field: to process and generate human–machine interaction as naturally as possible. Hence, this article’s purpose is to analyze and describe a nonfictional literary text, which is a type of documentary text that contains objective, qualitative, and quantitative information based on evidence. In this analysis, traditional methods will not be used. Instead, it will leverage NLP techniques to process and extract relevant information from the text. This literary analysis is a new kind of approach that encourages further discussions about the methodologies currently used. The proposed methodology enables exploratory analysis of both individual and unstructured corpus databases while also allowing geospatial data to complement the textual analysis by connecting the people in the text with real places.
Uenishi, R., Ortega, C., Pérez Martinez, Á., Rodríguez-Serra, M., & Elías, P. (2021). A systematic approach to literature analysis: traveling through stories. Digital Scholarship in the Humanities. https://doi.org/10.1093/llc/fqab081