Modality-specific and -shared Contrastive Learning for Sentiment Analysis-Reference-Cited by-同舟云学术

Modality-specific and -shared Contrastive Learning for Sentiment Analysis

Published:2024-05-30 Issue: Volume:33 Page:731-739
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
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Author:

Liu Dahuang¹^ORCID,You Jiuxiang¹^ORCID,Xie Guobo¹^ORCID,Lee Lap-Kei²^ORCID,Wang Fu Lee²^ORCID,Yang Zhenguo³^ORCID

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

2. School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China

3. School of Science and Technology, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

RGC of the HKSAR, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3658004

Reference35 articles.

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2. Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning (ICML), Vol. 119. 1597--1607.

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4. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). 4171--4186.

5. Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions