ARTICLE
Volume 10,Issue 7
13 February 2025
Research on Emotion Classification Supported by Multimodal Adversarial Autoencoder
Jing Yu
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1
The National University of Malaysia, Kuala Lumpur 43600, Malaysia,
JERA 2025 , 9(1), 270–275;
https://doi.org/10.26689/jera.v9i1.9468
© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract
In this paper, the sentiment classification method of multimodal adversarial autoencoder is studied. This paper includes the introduction of the multimodal adversarial autoencoder emotion classification method and the experiment of the emotion classification method based on the encoder. The experimental analysis shows that the encoder has higher precision than other encoders in emotion classification. It is hoped that this analysis can provide some reference for the emotion classification under the current intelligent algorithm mode.
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