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Current multimodal sentiment analysis frames sentiment score prediction as a general Machine Learning task.
Silent messages , volume 8
Albert Mehrabian et al. 1971 · 1971
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A circumplex model of affect
James A Russell. 1980 · 1980
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The cognitive structure of emotions
Andrew Ortony, Gerald L Clore, and Allan Collins. 1990 · 1990
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An argument for basic emotions
Paul Ekman. 1992 · 1992
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Bimodal emotion recognition
Liyanage C De Silva and Pei Chi Ng. 2000 · 2000
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Fine-grained subjectivity and sentiment analysis: recognizing the intensity, polarity, and attitudes of private states
Theresa Ann Wilson. 2008 · 2008
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Twitter sentiment analysis: The good the bad and the omg!
Efthymios Kouloumpis, Theresa Wilson, and Johanna D Moore. 2011 · 2011
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Continuous prediction of spontaneous affect from multiple cues and modalities in valence-arousal space
Mihalis A Nicolaou, Hatice Gunes, and Maja Pantic. 2011 · 2011
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Sentiment analysis in the news
Alexandra Balahur, Ralf Steinberger, Mijail Kabadjov, Vanni Zavarella, Erik Van Der Goot, Matina Halkia, Bruno Pouliquen, and Jenya Belyaeva. 2013 · 2013
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
Cited alongside, same era.
Are they different? affect, feeling, emotion, sentiment, and opinion detection in text
Myriam D Munezero, Calkin Suero Montero, Erkki Sutinen, and John Pajunen. 2014 · 2014
Cited alongside, same era.
Deep convolutional neural network textual features and multiple kernel learning for utterance-level multimodal sentiment analysis
Soujanya Poria, Erik Cambria, and Alexander Gelbukh. 2015 · 2015
Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
Tao Chen, Ruifeng Xu, Yulan He, and Xuan Wang. 2017 · 2017
Later among the works it cites.
Context-dependent sentiment analysis in user-generated videos
Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, and Louis-Philippe Morency. 2017 · 2017
Later among the works it cites.
An overview of multi-task learning in deep neural networks
Sebastian Ruder. 2017 · 2017
Later among the works it cites.
A multi-task learning framework for emotion recognition using 2d continuous space
Rui Xia and Yang Liu. 2017 · 2017
Later among the works it cites.
Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2017 · 2017
Later among the works it cites.
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Cited alongside, same era.
Recognizing emotions in spoken dialogue with hierarchically fused acoustic and lexical features
Leimin Tian, Johanna Moore, and Catherine Lai. 2016 · 2016
Cited alongside, same era.
Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages
Amir Zadeh, Rowan Zellers, Eli Pincus, and Louis-Philippe Morency. 2016 · 2016
Cited alongside, same era.
Multi-attention recurrent network for human communication comprehension
A Zadeh, PP Liang, S Poria, P Vij, E Cambria, and LP Morency. 2018a
Cited in the paper.
Multimodal language analysis in the wild: CMU-MOSEI dataset and interpretable dynamic fusion graph
Amir Zadeh, Paul Pu Liang, Jon Vanbriesen, Soujanya Poria, Erik Cambria, Minghai Chen, and Louis-Philippe Morency. 2018b
Cited in the paper.
Multimodal machine learning: A survey and taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency. 2018 · 2018
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