https://hackerpaper.kaipfister.de/p/1908.00220/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=25830377urn:hackerpapers:mention:1908.00220:25830377Tue, 19 Jan 2021 05:39:27 GMT<p>There&#x27;s a paper which does something similar including an analysis of different statistical models on top of a CIELAB color space. Estimating Color-Concept Associations from Image Statistics. Ragini Rathore et al., IEEE VIS InfoVis 2019. https://arxiv.org/pdf/1908.00220.pdf</p><p><a href="https://hackerpaper.kaipfister.de/p/1908.00220/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.HChttps://news.ycombinator.com/item?id=25830364urn:hackerpapers:mention:1908.00220:25830364Tue, 19 Jan 2021 05:37:12 GMT<p>For people who are interested in this kind of idea, there is some research on estimating Word-Color associations. A popular crowd-sourced dataset for this is [1] which contains average color association for 14,000 words. There is a demo available at [2]. There&#x27;s also a recent work[3] trying to estimate such association using image data from Google, similar to the OP project, but a bit more sophisticated than just taking an average. 1: Colourful Language: Measuring Word-Colour Associations, Saif Mohammad, ACL 2011 Workshop on Cognitive Modeling and Computational Linguistics (CMCL).…</p><p><a href="https://hackerpaper.kaipfister.de/p/1908.00220/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.HC