Colourful Language: Measuring Word-Colour Associations
This provides a resource for applications like information visualization and marketing, but it is incremental as it builds on existing crowdsourcing methods.
The authors tackled the lack of a comprehensive resource for concept-colour associations by creating a large word-colour association lexicon using crowdsourcing, focusing on abstract concepts and emotions, and quantified the usefulness of co-occurrence and polarity cues in automatic detection.
Since many real-world concepts are associated with colour, for example danger with red, linguistic information is often complimented with the use of appropriate colours in information visualization and product marketing. Yet, there is no comprehensive resource that captures concept-colour associations. We present a method to create a large word-colour association lexicon by crowdsourcing. We focus especially on abstract concepts and emotions to show that even though they cannot be physically visualized, they too tend to have strong colour associations. Finally, we show how word-colour associations manifest themselves in language, and quantify usefulness of co-occurrence and polarity cues in automatically detecting colour associations.