Little work to date in sentiment analysis (classifying texts by ‘positive’ or ‘negative’ orientation) has attempted to use fine-grained semantic distinctions in features ...
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
Social annotation via so-called collaborative tagging describes the process by which many users add metadata in the form of unstructured keywords to shared content. In this paper,...
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
"Bag of words" models have enjoyed much attention and achieved good performances in recent studies of object categorization. In most of these works, local patches are mo...