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Multimodal aspect-based sentiment analysis (MABSA) aims to extract aspects from text-image pairs and recognize their sentiments.
Open-domain targeted sentiment analysis via span-based extraction and classification
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, and Yiwei Lv. 2019 · 1906
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features
Meysam Asgari-Chenaghlu, M. Reza Feizi-Derakhshi, Leili Farzinvash, M. A. Balafar, and Cina Motamed. 2021 · 1922
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Deepsentibank: Visual sentiment concept classification with deep convolutional neural networks
Tao Chen, Damian Borth, Trevor Darrell, and Shih-Fu Chang. 2014 · 2014
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Targeted aspect-based sentiment analysis via embedding commonsense knowledge into an attentive lstm
Yukun Ma, Haiyun Peng, and Erik Cambria. 2018 · 2018
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Adaptive co-attention network for named entity recognition in tweets
Qi Zhang, Jinlan Fu, Xiaoyu Liu, and Xuanjing Huang. 2018 · 2018
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Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
Yitao Cai, Huiyu Cai, and Xiaojun Wan. 2019 · 2019
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Categorizing and inferring the relationship between the text and image of twitter posts
Alakananda Vempala and Daniel Preoţiuc-Pietro. 2019 · 2019
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Adapting bert for target-oriented multimodal sentiment classification
Jianfei Yu and Jing Jiang. 2019 · 2019
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Entity-sensitive attention and fusion network for entity-level multimodal sentiment classification
Jianfei Yu, Jing Jiang, and Rui Xia. 2019 · 2019
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Joint aspect extraction and sentiment analysis with directional graph convolutional networks
Guimin Chen, Yuanhe Tian, and Yan Song. 2020 · 2020
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Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
Zhuang Chen and Tieyun Qian. 2020 · 2020
Cited alongside, same era.
Misa: Modality-invariant and -specific representations for multimodal sentiment analysis
Devamanyu Hazarika, Roger Zimmermann, and Soujanya Poria. 2020 · 2020
Cited alongside, same era.
Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis
Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, and Ruifeng Xu. 2020 · 2020
Cited alongside, same era.
Position-Aware Tagging for Aspect Sentiment Triplet Extraction
Lu Xu, Hao Li, Wei Lu, and Lidong Bing. 2020 · 2020
Cited alongside, same era.
Improving multimodal named entity recognition via entity span detection with unified multimodal transformer
Jianfei Yu, Jing Jiang, Li Yang, and Rui Xia. 2020 · 2020
Cited alongside, same era.
Rpbert: A text-image relation propagation-based bert model for multimodal ner
Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su, and Fangsheng Weng. 2021 · 2021
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A unified generative framework for aspect-based sentiment analysis
Hang Yan, Junqi Dai, Xipeng Qiu, Zheng Zhang, et al. 2021 · 2021
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Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
Hao Chen, Zepeng Zhai, Fangxiang Feng, Ruifan Li, and Xiaojie Wang. 2022 · 2022
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Senticnet-based feature weighting scheme for sentiment classification
KS Kalaivani, M Rakshana, K Mounika, and D Sindhu. 2022 · 2022
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BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis
Shuo Liang, Wei Wei, Xian-Ling Mao, Fei Wang, and Zhiyong He. 2022b · 2022
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Graph attention network with memory fusion for aspect-level sentiment analysis
Li Yuan, Jin Wang, Liang-Chih Yu, and Xuejie Zhang. 2020 · 2020
Cited alongside, same era.
Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection
Xincheng Ju, Dong Zhang, Rong Xiao, Junhui Li, Shoushan Li, Min Zhang, and Guodong Zhou. 2021 · 2021
Cited alongside, same era.
Exploiting bert for multimodal target sentiment classification through input space translation
Zaid Khan and Yun Fu. 2021 · 2021
Cited alongside, same era.
Aspect-level sentiment analysis using context and aspect memory network
Yanxia Lv, Fangna Wei, Lihong Cao, Sancheng Peng, Jianwei Niu, Shui Yu, and Cuirong Wang. 2021 · 2021
Cited alongside, same era.
Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis
Shinhyeok Oh, Dongyub Lee, Taesun Whang, IlNam Park, Seo Gaeun, EungGyun Kim, and Harksoo Kim. 2021 · 2021
Cited alongside, same era.
Dynamic and Multi-Channel Graph Convolutional Networks for Aspect-Based Sentiment Analysis
Shiguan Pang, Yun Xue, Zehao Yan, Weihao Huang, and Jinhui Feng. 2021 · 2021
Cited alongside, same era.
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie Wang, and Eduard Hovy. 2021a
Cited in the paper.
Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis
Yan Ling, Jianfei Yu, and Rui Xia. 2022 · 2022
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Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors
Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, and Wenting Zhao. 2022 · 2022
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Graph convolution over the semantic-syntactic hybrid graph enhanced by affective knowledge for aspect-level sentiment classification
Junjie Xu, Shuwen Yang, Luwei Xiao, Zhichao Fu, Xingjiao Wu, Tianlong Ma, and Liang He. 2022 · 2022
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Cross-Modal Multitask Transformer for End-to-End Multimodal Aspect-Based Sentiment Analysis
Li Yang, Jin-Cheon Na, and Jianfei Yu. 2022 · 2022
Later among the works it cites.
Learning disentangled representation for multimodal cross-domain sentiment analysis
Yuhao Zhang, Ying Zhang, Wenya Guo, Xiangrui Cai, and Xiaojie Yuan. 2022 · 2022
Later among the works it cites.