Concept-Oriented Transformers for Visual Sentiment Analysis

Author:

Truong Quoc-Tuan1ORCID,Lauw Hady W.2ORCID

Affiliation:

1. Amazon, Seattle, WA, USA

2. Singapore Management University, Singapore, Singapore

Funder

National Research Foundation Singapore

Publisher

ACM

Reference52 articles.

1. Samira Abnar and Willem H . Zuidema . 2020 . Quantifying Attention Flow in Transformers. In ACL. Association for Computational Linguistics , 4190--4197. Samira Abnar and Willem H. Zuidema. 2020. Quantifying Attention Flow in Transformers. In ACL. Association for Computational Linguistics, 4190--4197.

2. Stefano Baccianella , Andrea Esuli , and Fabrizio Sebastiani . 2010. Senti WordNet 3.0 : An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining . In LREC. European Language Resources Association . Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. In LREC. European Language Resources Association.

3. Marian Stewart Bartlett , Gwen Littlewort , Mark G. Frank , Claudia Lainscsek , Ian R. Fasel , and Javier R . Movellan . 2005 . Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior. In CVPR. 568--573. Marian Stewart Bartlett, Gwen Littlewort, Mark G. Frank, Claudia Lainscsek, Ian R. Fasel, and Javier R. Movellan. 2005. Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior. In CVPR. 568--573.

4. Classifying sentiment in microblogs

5. Johan Bollen Huina Mao and Alberto Pepe. 2011. Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena. In ICWSM. Johan Bollen Huina Mao and Alberto Pepe. 2011. Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena. In ICWSM.

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