Research on Emotion Classification Supported by Multimodal Adversarial Autoencoder
Year: 2025
Type: article
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.
Author: Jing Yu
Institution: National University of Malaysia
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407712305