M3SA: Multimodal Sentiment Analysis based on multi-scale feature extraction and multi-task learning
Sentiment analysis plays an indispensable part in human-computer interaction. Multimodal sentiment analysis can overcome the shortcomings of unimodal sentiment analysis by fusing multimodal data. However, how to extracte improved feature representations and how to execute effective modality fusion a...
Saved in:
Main Authors: | LIN, Changkai, CHENG, Hongju, RAO, Qiang, YANG, Yang |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8755 https://ink.library.smu.edu.sg/context/sis_research/article/9758/viewcontent/2024_M3SA_Multimodalpav.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Multimodal sentiment analysis using hierarchical fusion with context modeling
by: Majumder, Navonil, et al.
Published: (2020) -
A novel context-aware multimodal framework for persian sentiment analysis
by: Dashtipour, Kia, et al.
Published: (2022) -
VistaNet: Visual Aspect Attention Network for multimodal sentiment analysis
by: TRUONG, Quoc Tuan, et al.
Published: (2019) -
Sentic maxine: Multimodal affective fusion and emotional paths
by: Hupont, I., et al.
Published: (2014) -
M2Lens: Visualizing and explaining multimodal models for sentiment analysis
by: WANG, Xingbo, et al.
Published: (2022)