JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v9i1.9468ArticleResearch on Emotion Classification Supported by Multimodal Adversarial Autoencoderhttps://artdesignp.com/journal/JERA/9/1/10.26689/jera.v9i1.9468YuJing2025912025-02-13In 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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