The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neural network which is ideal for processing image data. By weighting this information fusion, we can get the emotional polarity of each pixel of the image. It can greatly improve accuracy rate of the image emotional classification model.

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