Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks

Understand

Sentiment analysis of online user generated content is important for many social media analytics tasks.

• Researchers have largely relied on textual sentiment analysis to develop systems to predict political elections, measure economic indicators, and so on.
• Recently, social media users are increasingly using images and videos to express their opinions and share their experiences.
• Sentiment analysis of such large scale visual content can help better extract user sentiments toward events or topics, such as those in image tweets, so that prediction of sentiment from visual content is complementary to textual sentiment analysis.