Web: http://arxiv.org/abs/2201.10274

Jan. 26, 2022, 2:10 a.m. | Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He

cs.CL updates on arXiv.org arxiv.org

Nowadays, with the explosive growth of multimodal reviews on social media
platforms, multimodal sentiment analysis has recently gained popularity because
of its high relevance to these social media posts. Although most previous
studies design various fusion frameworks for learning an interactive
representation of multiple modalities, they fail to incorporate sentimental
knowledge into inter-modality learning. This paper proposes a Multi-channel
Attentive Graph Convolutional Network (MAGCN), consisting of two main
components: cross-modality interactive learning and sentimental feature fusion.
For cross-modality interactive learning, …

analysis arxiv graph multimodal network sentiment analysis

More from arxiv.org / cs.CL updates on arXiv.org

Director, Data Engineering and Architecture

@ Chainalysis | California | New York | Washington DC | Remote - USA

Deep Learning Researcher

@ Topaz Labs | Dallas, TX

Sr Data Engineer (Contractor)

@ SADA | US - West

Senior Cloud Database Administrator

@ Findhelp | Remote

Senior Data Analyst

@ System1 | Remote

Speech Machine Learning Research Engineer

@ Samsung Research America | Mountain View, CA