1. A method performed at least in part on at least one computer processor, said method comprising: receiving an image to classify, said image being located within a text document; identifying a plurality of said text documents comprising said image; identifying a training set of examples from at least one of said text documents, said training set of examples comprising a subset of said text within said text documents that is classified based on a determination of a measure of proximity to said image; training a classifier using said training set; and classifying said text within said text document using said classifier to identify a group of text associated with said image.