From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction

作者：

Highlights：

• A visual sentiment prediction framework using a Convolutional Neural Network

• Comparison of several performance boosting strategies

• 6.1% absolute accuracy improvement over the previous state-of-the-art

• Visualization of local patterns associated to each image's sentiment

摘要

•A visual sentiment prediction framework using a Convolutional Neural Network•Comparison of several performance boosting strategies•6.1% absolute accuracy improvement over the previous state-of-the-art•Visualization of local patterns associated to each image's sentiment

论文关键词：Sentiment,Convolutional Neural Networks,Social multimedia,Fine-tuning strategies

论文评审过程：Received 9 April 2016, Revised 19 January 2017, Accepted 26 January 2017, Available online 5 February 2017, Version of Record 18 September 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2017.01.011