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Sentiment analysis is rapidly advancing by utilizing various data modalities (e.g., text, image).
The jensen-shannon divergence
ML Menéndez, JA Pardo, L Pardo, and MC Pardo. 1997 · 1997
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Good debt or bad debt: Detecting semantic orientations in economic texts
Pekka Malo, Ankur Sinha, Pekka Korhonen, Jyrki Wallenius, and Pyry Takala. 2014 · 2014
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Sentiment analysis algorithms and applications: A survey
Walaa Medhat, Ahmed Hassan, and Hoda Korashy. 2014 · 2014
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Deep inside convolutional networks: visualising image classification models and saliency maps
K Simonyan, A Vedaldi, and A Zisserman. 2014 · 2014
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Microblog sentiment analysis based on cross-media bag-of-words model
Min Wang, Donglin Cao, Lingxiao Li, Shaozi Li, and Rongrong Ji. 2014 · 2014
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Joint visual-textual sentiment analysis with deep neural networks
Quanzeng You, Jiebo Luo, Hailin Jin, and Jianchao Yang. 2015 · 2015
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A survey of multimodal sentiment analysis
Mohammad Soleymani, David Garcia, Brendan Jou, Björn Schuller, Shih-Fu Chang, and Maja Pantic. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A survey on sentiment analysis challenges
Doaa Mohey El-Din Mohamed Hussein. 2018 · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2018 · 2018
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Financial opinion mining and question answering
Macedo Maia, Siegfried Handschuh, Andre Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, and Alexandra. Balahur. 2018 · 2018
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Multimodal sentiment analysis using hierarchical fusion with context modeling
Navonil Majumder, Devamanyu Hazarika, Alexander Gelbukh, Erik Cambria, and Soujanya Poria. 2018 · 2018
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Are sixteen heads really better than one?
Paul Michel, Omer Levy, and Graham Neubig. 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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An image-text consistency driven multimodal sentiment analysis approach for social media
Ziyuan Zhao, Huiying Zhu, Zehao Xue, Zhao Liu, Jing Tian, Matthew Chin Heng Chua, and Maofu Liu. 2019 · 2019
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al. 2020 · 2020
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Accelerating large-scale inference with anisotropic vector quantization
Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, and Sanjiv Kumar. 2020 · 2020
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Misa: Modality-invariant and-specific representations for multimodal sentiment analysis
Devamanyu Hazarika, Roger Zimmermann, and Soujanya Poria. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020
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Convolutional transformer with sentiment-aware attention for sentiment analysis
Pengfei Li, Peixiang Zhong, Jiaheng Zhang, and Kezhi Mao. 2020 · 2020
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Transmodality: An end2end fusion method with transformer for multimodal sentiment analysis
Zilong Wang, Zhaohong Wan, and Xiaojun Wan. 2020 · 2020
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Slotrefine: A fast non-autoregressive model for joint intent detection and slot filling
Di Wu, Liang Ding, Fan Lu, and Jian Xie. 2020 · 2020
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Understanding and improving lexical choice in non-autoregressive translation
Liang Ding, Longyue Wang, Xuebo Liu, Derek F Wong, Dacheng Tao, and Zhaopeng Tu. 2021 · 2021
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Improving multimodal fusion with hierarchical mutual information maximization for multimodal sentiment analysis
Wei Han, Hui Chen, and Soujanya Poria. 2021 · 2021
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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
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Shikra: Unleashing multimodal llm’s referential dialogue magic
Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, and Rui Zhao. 2023 · 2023
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al. 2023b · 2023
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Instructblip: Towards general-purpose vision-language models with instruction tuning
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Albert Li, Pascale Fung, and Steven C. H. Hoi. 2023 · 2023
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Multimodal sentiment analysis: A survey of methods, trends and challenges
Ringki Das and Thoudam Doren Singh. 2023 · 2023
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Joint multi-modal aspect-sentiment analysis with auxiliary cross-modal relation detection
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Exploiting bert for multimodal target sentiment classification through input space translation
Zaid Khan and Yun Fu. 2021 · 2021
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Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, and Marc Najork. 2021 · 2021
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Learning modality-specific representations with self-supervised multi-task learning for multimodal sentiment analysis
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Cola: Weakly-supervised temporal action localization with snippet contrastive learning
Can Zhang, Meng Cao, Dongming Yang, Jie Chen, and Yuexian Zou. 2021 · 2021
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al. 2022 · 2022
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Retrieval-augmented generation for large language models: A survey
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Is chatgpt a good translator? a preliminary study
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Seed-bench: Benchmarking multimodal llms with generative comprehension
Bohao Li, Rui Wang, Guangzhi Wang, Yuying Ge, Yixiao Ge, and Ying Shan. 2023 · 2023
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Augmented large language models with parametric knowledge guiding
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Contrastive decoding improves reasoning in large language models
Sean O’Brien and Mike Lewis. 2023 · 2023
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OpenAI. 2023 · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration
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Mmicl: Empowering vision-language model with multi-modal in-context learning
Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, and Baobao Chang. 2023 · 2023
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Can chatgpt understand too? a comparative study on chatgpt and fine-tuned bert
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, and Dacheng Tao. 2023 · 2023
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AoM: Detecting aspect-oriented information for multimodal aspect-based sentiment analysis
Ru Zhou, Wenya Guo, Xumeng Liu, Shenglong Yu, Ying Zhang, and Xiaojie Yuan. 2023 · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
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Rag vs fine-tuning: Pipelines, tradeoffs, and a case study on agriculture
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