Abstract | ||
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It is generally believed that a metaphor tends to have a stronger emotional impact than a literal statement; however, there is no quantitative study establishing the extent to which this is true. Further, the mechanisms through which metaphors convey emotions are not well understood. We present the first data-driven study comparing the emotionality of metaphorical expressions with that of their literal counterparts. Our results indicate that metaphorical usages are, on average, significantly more emotional than literal usages. We also show that this emotional content is not simply transferred from the source domain into the target, but rather is a result of meaning composition and interaction of the two domains in the metaphor. |
Year | DOI | Venue |
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2016 | 10.18653/v1/S16-2003 | *SEM@ACL |
Field | DocType | Volume |
Emotionality,Expression (mathematics),Computer science,Cognitive psychology,Artificial intelligence,Natural language processing,Linguistics,Metaphor,Empirical research | Conference | S16-2 |
Citations | PageRank | References |
4 | 0.44 | 14 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Saif M. Mohammad | 1 | 2103 | 106.31 |
Ekaterina Shutova | 2 | 228 | 21.51 |
Peter D. Turney | 3 | 6084 | 534.36 |