Research on Emotion Classification Supported by Multimodal Adversarial Autoencoder
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Keywords

Artificial intelligence
Multimode adversarial encoder
Sentiment classification
Evaluation criteria
Modal Settings

DOI

10.26689/jera.v9i1.9468

Submitted : 2025-01-19
Accepted : 2025-02-03
Published : 2025-02-18

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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