Visual Sentiment Prediction with Deep Convolutional Neural Networks

Understand

Images have become one of the most popular types of media through which users convey their emotions within online social networks.

• Although vast amount of research is devoted to sentiment analysis of textual data, there has been very limited work that focuses on analyzing sentiment of image data.
• In this work, we propose a novel visual sentiment prediction framework that performs image understanding with Deep Convolutional Neural Networks (CNN).
• Specifically, the proposed sentiment prediction framework performs transfer learning from a CNN with millions of parameters, which is pre-trained on large-scale data for object recognition.