English

Pattern Recognition in Narrative: Tracking Emotional Expression in Context

Artificial Intelligence 2021-07-01 v3 Computation and Language

Abstract

Using geometric data analysis, our objective is the analysis of narrative, with narrative of emotion being the focus in this work. The following two principles for analysis of emotion inform our work. Firstly, emotion is revealed not as a quality in its own right but rather through interaction. We study the 2-way relationship of Ilsa and Rick in the movie Casablanca, and the 3-way relationship of Emma, Charles and Rodolphe in the novel {\em Madame Bovary}. Secondly, emotion, that is expression of states of mind of subjects, is formed and evolves within the narrative that expresses external events and (personal, social, physical) context. In addition to the analysis methodology with key aspects that are innovative, the input data used is crucial. We use, firstly, dialogue, and secondly, broad and general description that incorporates dialogue. In a follow-on study, we apply our unsupervised narrative mapping to data streams with very low emotional expression. We map the narrative of Twitter streams. Thus we demonstrate map analysis of general narratives.

Keywords

Cite

@article{arxiv.1405.3539,
  title  = {Pattern Recognition in Narrative: Tracking Emotional Expression in Context},
  author = {Fionn Murtagh and Adam Ganz},
  journal= {arXiv preprint arXiv:1405.3539},
  year   = {2021}
}

Comments

21 pages, 7 figures

R2 v1 2026-06-22T04:14:06.594Z