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Color Me Intrigued: Quantifying Usage of Colors in Fiction

arXiv 2301.03559 ↗First posted 9 Jan 2023cs.CLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 21 references that are in the map. First posted on arXiv 9 Jan 2023.

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References · 8

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  4. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
  5. 2016FastText.zip: Compressing text classification modelscited by 331
  6. 2018A Survey on Deep Learning for Named Entity Recognitioncited by 281
  7. 2017Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypescited by 251
  8. 2022Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platformscited by 1

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