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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3624546
Abstract: Current multimodal aspect-level sentiment analysis models often face two primary challenges. Firstly, there is insufficient integration of syntactic and semantic information during syntactic analysis. Secondly, there is excessive noise during the fusion of different modalities.…
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Keywords:
analysis;
level sentiment;
model;
multimodal aspect ... See more keywords
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Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3415028
Abstract: Multimodal aspect-based sentiment classification (MABSC) aims to identify the sentiment polarity toward specific aspects in multimodal data. It has gained significant attention with the increasing use of social media platforms. Existing approaches primarily focus on…
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Keywords:
aspect based;
language;
model;
based sentiment ... See more keywords