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Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characters
Conference proceeding   Open access

Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characters

Md Naimul Hoque, Bhavya Ghai, Kari Kraus and Niklas Elmqvist
Proceedings of the 2023 ACM Designing Interactive Systems Conference, pp.74-94
ACM Conferences
DIS '23: Designing Interactive Systems Conference
07/10/2023
DOI: 10.1145/3563657.3596000
url
https://doi.org/10.1145/3563657.3596000View
Published (Version of record) Open Access

Abstract

Many creative writing tasks (e.g., fiction writing) require authors to write complex narrative components (e.g., characterization, events, dialogue) over the course of a long story. Similarly, literary scholars need to manually annotate and interpret texts to understand such abstract components. In this paper, we explore how Natural Language Processing (NLP) and interactive visualization can help writers and scholars in such scenarios. To this end, we present Portrayal, an interactive visualization system for analyzing characters in a story. Portrayal extracts natural language indicators from a text to capture the characterization process and then visualizes the indicators in an interactive interface. We evaluated the system with 12 creative writers and scholars in a one-week-long qualitative study. Our findings suggest Portrayal helped writers revise their drafts and create dynamic characters and scenes. It helped scholars analyze characters without the need for any manual annotation, and design literary arguments with concrete evidence.
Human-centered computing -- Visualization -- Visualization systems and tools

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