Cross-Modal Sentiment Analysis of Text and Video Based on Bi-GRU Cyclic Network and Correlation Enhancement

Cross-Modal Sentiment Analysis of Text and Video Based on Bi-GRU Cyclic Network and Correlation Enhancement

Cross-modal sentiment analysis is an emerging research area in natural language processing. The core task of cross-modal fusion lies in cross-modal relationship extraction and joint feature learning. The existing research methods of cross-modal sentiment analysis focus on static text, video, audio,...

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Bibliographic Details
Main Authors: Ping He, Huaying Qi, Shiyi Wang, Jiayue Cang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
cross-modal fusion
gated recurrent unit (GRU) network
multi-head attention
canonical correlation analysis
sentiment analysis
Online Access:https://www.mdpi.com/2076-3417/13/13/7489

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https://www.mdpi.com/2076-3417/13/13/7489

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