DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

30 Oct 2014 Tao Chen Damian Borth Trevor Darrell Shih-Fu Chang

This paper introduces a visual sentiment concept classification method based on deep convolutional neural networks (CNNs). The visual sentiment concepts are adjective noun pairs (ANPs) automatically discovered from the tags of web photos, and can be utilized as effective statistical cues for detecting emotions depicted in the images... (read more)

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