Multimodal sentiment analysis using Multi-Layer Fusion Convolution Neural Network-Reference-Cited by-同舟云学术

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Multimodal sentiment analysis using Multi-Layer Fusion Convolution Neural Network

Published:2023-11-02 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)
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Author:

Basha D Khalandar¹,Sunil G²,Hussein A. H. A.³,S Mukesh⁴,Mundher Adnan Myasar⁵

Affiliation:

1. Institute of Aeronautical Engineering,Department of ECE,Hyderabad,India

2. School of Computer Science & Artificial Intelligence SR University,Warangal,India

3. College of Pharmacy Ahl Al Bayt University,Karbala,Iraq

4. Bio Medical Engineering Sona College of Technology,Salem,India

5. The Islamic University,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389814/10389816/10390433.pdf?arnumber=10390433

Reference22 articles.

1. Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions

2. Integrating color cues to improve multimodal sentiment analysis in social media

3. Joint multimodal sentiment analysis based on information relevance

4. ICDN: integrating consistency and difference networks by transformer for multimodal sentiment analysis

5. Dynamic Route Discovery Using Modified Grasshopper Optimization Algorithm in Wireless Ad-Hoc Visible Light Communication Network

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