A Co-Memory Network for Multimodal Sentiment Analysis | |
Xu, Nan1,2; Mao, Wenji1,2; Chen, Guandan1,2 | |
2018-07 | |
会议日期 | July 8-12, 2018 |
会议地点 | Ann Arbor, MI, USA |
英文摘要 | With the rapid increase of diversity and modality of data in user-generated contents, sentiment analysis as a core area of social media analytics has gone beyond traditional text-based analysis. Multimodal sentiment analysis has become an important research topic in recent years. Most of the existing work on multimodal sentiment analysis extracts features from image and text separately, and directly combine them to train a classifier. As visual and textual information in multimodal data can mutually reinforce and complement each other in analyzing the sentiment of people, previous research all ignores this mutual influence between image and text. To fill this gap, in this paper, we consider the interrelation of visual and textual information, and propose a novel co-memory network to iteratively model the interactions between visual contents and textual words for multimodal sentiment analysis. Experimental results on two public multimodal sentiment datasets demonstrate the effectiveness of our proposed model compared to the state-of-the-art methods. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/39142] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
通讯作者 | Xu, Nan |
作者单位 | 1.University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Xu, Nan,Mao, Wenji,Chen, Guandan. A Co-Memory Network for Multimodal Sentiment Analysis[C]. 见:. Ann Arbor, MI, USA. July 8-12, 2018. |
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