| Author | Search for: Mohammad, S.M.1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Conference | 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011, 19 June 2011 through 24 June 2011, Portland, OR |
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| Subject | Abstract concept; Crowdsourcing; Data quality; Information visualization; Linguistic information; Product marketing; Abstracting; Computational linguistics; Information systems; Semantics; Color |
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| Abstract | Colour is a key component in the successful dissemination of information. Since many real-world concepts are associated with colour, for example danger with red, linguistic information is often complemented 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. A wordchoice question was used to obtain sense-level annotations and to ensure data quality. We focus especially on abstract concepts and emotions to show that even they tend to have strong colour associations. Thus, using the right colours can not only improve semantic coherence, but also inspire the desired emotional response. © 2011 Association for Computational Linguistics. |
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| Publication date | 2011 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21271380 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 3bd86932-72d8-4ff6-9f19-3f9b6df8f125 |
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| Record created | 2014-03-24 |
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| Record modified | 2020-04-21 |
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