Unveiling Character Networks in Literary Texts

Abstract

This paper takes a fresh approach to analyzing the musical Wicked, utilizing text mining techniques. Through the use of a text analysis tool, we delve deeper into the narrative, meticulously examining the subtleties found in the characters' dialogue, actions, and relationships. By harnessing this advanced technology, our study seeks to uncover hidden patterns, reveal underlying attitudes, and unravel the thematic threads interwoven throughout the characters' interactions in the entire literary piece. Our goal is not only to deepen our understanding of literature but also to provide novel perspectives on its acclaim and popularity. The findings shed light on the primary protagonists, their characteristics, and the central themes conveyed through the structure of sentences. Moreover, we suggest that text mining methods can offer valuable insights into literary techniques and aid in the development of a semantic markup for literary works.