文献类型：期刊文献

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 University of Science and Technology, China

年份：2019

卷号：2019-July

起止页码：1126

外文期刊名：Proceedings - IEEE International Conference on Multimedia and Expo

收录：EI(收录号：20193407348396)

语种：英文

外文关键词：Machine learning - Sentiment analysis - Image analysis - Image classification - Semantics - Classification (of information)

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. ? 2019 IEEE.