Transformer-Based Feature Fusion Approach for Multimodal Visual Sentiment Recognition Using Tweets in the Wild
We present an image-based real-time sentiment analysis system that can be used to recognize in-the-wild sentiment expressions on online social networks. The system deploys the newly proposed transformer architecture on online social networks (OSN) big data to extract emotion and sentiment features u...
Main Authors: | Fatimah Alzamzami, Abdulmotaleb El Saddik |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10122531/ |
Similar Items
-
Domain-Adaptive Vision Transformers for Generalizing Across Visual Domains
by: Yunsung Cho, et al.
Published: (2023-01-01) -
A Multimodal Transformer Model for Recognition of Images from Complex Laparoscopic Surgical Videos
by: Rahib H. Abiyev, et al.
Published: (2024-03-01) -
Self‐supervised multimodal fusion transformer for passive activity recognition
by: Armand K. Koupai, et al.
Published: (2022-10-01) -
Context Transformer and Adaptive Method with Visual Transformer for Robust Facial Expression Recognition
by: Lingxin Xiong, et al.
Published: (2024-02-01) -
Doppler Radar-Based Human Speech Recognition Using Mobile Vision Transformer
by: Wei Li, et al.
Published: (2023-06-01)