What is it about?
This study proposes a search-engine-based color palette generator inspired by a Natural Language Processing algorithm that filters and clusters semantically related words and colors. TF-IDF and Word2Vec algorithms for processing textual data have been adapted to handle color data extracted from image search results.
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Why is it important?
Our new design tool computes color palettes for any textual input as a design concept, whose association is not only stronger than traditional crowd-sourced dictionaries but can be tuned to various demographic factors such as artistic training and cultural backgrounds.
Perspectives
Our data-based approach suggests a fundamentally new way to the existing method of color planning, which largely depends on human intuition.
Sangwon Lee
Yonsei University
Read the Original
This page is a summary of: Color2Vec: Web-based Modeling of Word-color Association with Sociocultural Contexts, ACM Transactions on Computer-Human Interaction, November 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3571816.
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