Interacting with Literary Style through Computational Tools

DramatVis Personae: Visual Text Analytics for Identifying Social Biases in Creative Writing

“…Recently, Chung et al [11] proposed TaleBrush, an interactive tool where AI can generate a narrative arc based on a sketch drawn by a writer that outlines the expected changes in the fortunes of characters. Other works include IntroAssist [43], a web-based tool that helps entrepreneurs to write introductory help-requests to potential clients, investors, and stakeholders; INJECT [59], a tool for supporting journalists explore new creative angles for their stories under development; and an interactive tool proposed by Sterman et al [87] that allows writers to interact with literary style of an article.…”

Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characters

“…For example, Du et al [15,16] proposed a tool to help writers in their iterative revising process. Sterman et al [64] proposed an analytic model that allows writers to interact with the literary style of an article. DramatVis Personae [30] helps writers mitigate nuanced social biases in their writing.…”

“…Implications for Visualization in Creativity Support. While providing computational lenses on text is common in creativity support tools, they are often limited to one or two lenses [14,30,64]. We believe the use of interactive visualization has enabled us to couple several computational lenses (i.e., models) together in Portrayal.…”

A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning

“…An NLP-powered tool was developed by Wambsganss et al [128] for students to develop argumentation quality in writing by providing feedback. Sterman et al [129] developed a tool to visualize and model writing styles using Deep Learning. Opisthenar [130] is a Deep Learning based tool to recognize head poses and finger tappings.…”