Wolyn, Sam, authorSimske, Steven, authorACM, publisher2024-11-112024-11-112023-08-22Samuel R. Wolyn, and Steven J. Simske. 2023. Character Relationship Mapping in Major Fictional Works Using Text Analysis Methods. In ACM Symposium on Document Engineering 2023 (DocEng '23), August 22–25, 2023. Limerick, Ireland, 4 pages. https://doi.org/10.1145/3573128.3609345https://hdl.handle.net/10217/239511Determining the relationships between characters is an important step in analyzing fictional works. Knowing character relationships can be useful when summarizing a work and may also help to determine authorship. In this paper, scores are generated for pairs of characters in fictional works, which can be used for classification tasks if characters have a relationship or not. An SVM is used to predict relationships between characters. Characters farther from the decision boundary often had stronger relationships than those closer to the boundary. The relative rank of the relationships may have additional literary and authorship related purposes.born digitalarticleseng© Samuel R. Wolyn, et al. | ACM 2023. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in DocEng '23, https://dx.doi.org/10.1145/3573128.3609345.text analyticscharacter relationshipsfictional worksTexthttps://doi.org/10.1145/3573128.3609345