Discovering Sentimental Interaction via Graph Convolutional Network for Visual Sentiment Prediction
With the popularity of online opinion expressing, automatic sentiment analysis of images has gained considerable attention. Most methods focus on effectively extracting the sentimental features of images, such as enhancing local features through saliency detection or instance segmentation tools. How...
Main Authors: | Lifang Wu, Heng Zhang, Sinuo Deng, Ge Shi, Xu Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/4/1404 |
Similar Items
-
Sentiment Interaction Distillation Network for Image Sentiment Analysis
by: Lifang Wu, et al.
Published: (2022-03-01) -
Automatic Visual Sentiment Analysis with Convolution Neural network
by: N. Desai, et al.
Published: (2020-09-01) -
Multimodal Interaction and Fused Graph Convolution Network for Sentiment Classification of Online Reviews
by: Dehong Zeng, et al.
Published: (2023-05-01) -
Context-Specific Heterogeneous Graph Convolutional Network for Implicit Sentiment Analysis
by: Enguang Zuo, et al.
Published: (2020-01-01) -
A Graph Convolutional Network Based on Sentiment Support for Aspect-Level Sentiment Analysis
by: Ruiding Gao, et al.
Published: (2024-03-01)