CLJan 9, 2023

Color Me Intrigued: Quantifying Usage of Colors in Fiction

arXiv:2301.03559v1h-index: 4
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of computational literary analytics for researchers, but it is incremental as it builds on existing norms and datasets.

The authors tackled the problem of quantifying color usage in fiction by analyzing selected authors' works from LitBank using Glasgow Norms, finding a significant increase in noun concreteness over time as an early result.

We present preliminary results in quantitative analyses of color usage in selected authors' works from LitBank. Using Glasgow Norms, human ratings on 5000+ words, we measure attributes of nouns dependent on color terms. Early results demonstrate a significant increase in noun concreteness over time. We also propose future research directions for computational literary color analytics.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes