Modeling Semantic Similarity between Metaphor Terms of Visual vs. Linguistic Metaphors through Flickr Tag Distributions
Marianna Bolognesi published her study ‘Modeling Semantic Similarity between Metaphor Terms of Visual vs. Linguistic Metaphors through Flickr Tag Distributions‘ in Frontiers in Communication.
As explained in the article, the method hereby used captures primarily relational similarity between concept pairs, that is, between tags that appear in similar tagsets (and therefore in similar pictures).
It is hereby shown that visual and linguistic metaphors behave differently, in that the similarity between two aligned concepts in a visual metaphor, on average, appears to be significantly higher than the similarity between two concepts aligned in a linguistic metaphor.
An additional content analysis shows that the type of semantic information encoded in the related tags (i.e., the contexts on which the contingency matrices of this distributional method are built) differs, in relation to the modality of the metaphor: while situation-related and entity-related features are typically associated with concepts aligned in visual metaphors, introspections, and taxonomic features are typically associated with concepts aligned in linguistic metaphors.