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Sentiment analysis, also known as opinion mining, seeks to figure out points of view from documents. Sentiment classification is a specific task of sentiment analysis that divides documents into positive and negative sentiment polarities according to the attitudes expressed. Feature extraction is a significant part of sentiment classification. Traditional feature extraction methods mine statistical...
An integrated technology of top-down and bottom-up visual attention used to the solution of the feature selection and saliency detection problems in object extraction and categorization of natural scene images is proposed. A decision criterion based on the top-down, goal-driven component is introduced to select the features of desired detection object which best distinguish the object from the other...
A system for image semantic information extraction and retrieval based on combination between top-down, target-driven and bottom-up, image-driven visual saliency distinguishing is presented. It simulates the analogous procedures of visual system of primates. It consists of four major components: selective attention, semantics extraction, semantics modeling and image retrieval. The design of selective...
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