Targeted aspect-based multimodal sentiment analysis: an attention capsule extraction and multi-head fusion network
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Gu, Donghong 
ORCID: https://orcid.org/0000-0003-1481-645X, Wang, Jiaqian ORCID: https://orcid.org/0000-0002-8473-7821, Cai, Shaohua ORCID: https://orcid.org/0000-0002-6076-2694, Yang, Chi ORCID: https://orcid.org/0000-0001-7450-6264, Song, Zhengxin ORCID: https://orcid.org/0000-0002-8758-4082, Zhao, Haoliang ORCID: https://orcid.org/0000-0002-0157-8256, Xiao, Luwei ORCID: https://orcid.org/0000-0001-7996-6112 and Wang, Hua ORCID: https://orcid.org/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
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| Item type | Article |
| URI | https://vu-9.eprints-hosting.org/id/eprint/42915 |
| DOI | 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 | 4 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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