Interpretable Multimodal Sentiment Classification Using Deep Multi-View Attentive Network of Image and Text Data

Interpretable Multimodal Sentiment Classification Using Deep Multi-View Attentive Network of Image and Text Data

Multimodal data can convey user emotions and feelings more effectively and interactively than unimodal content. Thus, multimodal sentiment analysis (MSA) research has recently acquired great significance as a field of study. However, most current approaches either acquire sentimental features indepe...

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Bibliographic Details
Main Authors: Israa Khalaf Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeid Pashazadeh, Mohammad Asadpour
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Multimodal sentiment analysis
attention mechanism
deep learning
deep multi-view attentive network
interpretability
Online Access:https://ieeexplore.ieee.org/document/10227255/

Internet

https://ieeexplore.ieee.org/document/10227255/

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