文献类型：会议论文

英文题名：ANOTHER DIMENSION: TOWARDS MULTI-SUBNET NEURAL NETWORK FOR IMAGE SENTIMENT ANALYSIS

作者：Zhang, Jing[1];Sun, Han[1];Wang, Zhe[1];Ruan, Tong[1]

机构：[1]East China Univ Sci & Technol, Shanghai, Peoples R China

会议论文集：IEEE International Conference on Multimedia and Expo (ICME)

会议日期：JUL 08-12, 2019

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：multi-subnet neural network; sentiment analysis; neural microcircuit; domain channel

摘要：Image sentiment analysis has been studied for many years, and most of algorithms take the image sentiment as independent and discrete labels to predict by machine learning. Actually, as a product of multiple hormone combinations, emotions are generated by mutual suppression signal in brain. Inspired by neural microcircuit in amygdala, we propose a novel Multi-Subnet Neural Network (MSNN) that simulates the human brain mechanism for image sentiment classification. Different from traditional neural network, MSNN extends a new domain channel to imitate the way that images stimulate the brain through different neural circuits and produce sentimental semantic information by multi-subnet and signal reforming network. Experiments show that MSNN is well adapted to multi-class image sentiment classification task, and outperforms other multi-class sentiment classification models.