Visual sentiment analysis with semantic correlation enhancement
Abstract Visual sentiment analysis is in great demand as it provides a computational method to recognize sentiment information in abundant visual contents from social media sites. Most of existing methods use CNNs to extract varying visual attributes for image sentiment prediction, but they failed t...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2023-12-01
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Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-023-01296-w |