Targeted aspect-based multimodal sentiment analysis: an attention capsule extraction and multi-head fusion network

Gu, Donghong ORCID: 0000-0003-1481-645X, Wang, Jiaqian ORCID: 0000-0002-8473-7821, Cai, Shaohua ORCID: 0000-0002-6076-2694, Yang, Chi ORCID: 0000-0001-7450-6264, Song, Zhengxin ORCID: 0000-0002-8758-4082, Zhao, Haoliang ORCID: 0000-0002-0157-8256, Xiao, Luwei ORCID: 0000-0001-7996-6112 and Wang, Hua ORCID: 0000-0002-8465-0996 (2021) Targeted aspect-based multimodal sentiment analysis: an attention capsule extraction and multi-head fusion network. IEEE Access, 9. pp. 157329-157336. ISSN 2169-3536

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/42915
DOI https://doi.org/10.1109/access.2021.3126782
Official URL https://ieeexplore.ieee.org/document/9606882
Subjects Current > FOR (2020) Classification > 4005 Civil engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords Multimodal sentiment analysis, textual and visual modalities, feature extraction, multimodality fusion
Citations in Scopus 0 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login