Mainstream approaches employ machine learning techniques to integrate/combine visual features with linguistic features.
to or supplementing these approaches, this study assesses the effectiveness of social image tags in generating word embeddings, and argues that these generated representations exhibit somewhat different and favorable behaviors from corpus-originated representations.