Hybrid grass bee optimization ‐ multikernal extreme learning classifier: Multimodular fusion strategy and optimal feature selection for multimodal sentiment analysis in social media videos-Reference-Cited by-同舟云学术

Hybrid grass bee optimization ‐ multikernal extreme learning classifier: Multimodular fusion strategy and optimal feature selection for multimodal sentiment analysis in social media videos

Published:2021-04-04 Issue:16 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Alqahtani Abdullah Saleh¹^ORCID,Pandiaraj Saravanan²^ORCID,Murali Maheswari²,Alshmrany Sami³,Alsarrayrih Haytham⁴

Affiliation:

1. Department of Self Development Skills CFY Deanship King Saud University Riyadh Saudi Arabia

2. Department of Electronics & Communication Engineering K. Ramakrishnan College of Engineering Trichy India

3. Department of Computer and Information Systems Islamic University of Madinah Madinah Saudi Arabia

4. Department of Computer Science Saudi Electronic University Saudi Arabia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6259

Reference50 articles.

1. A new hybrid deep learning model for human action recognition;Jaouedi N;J King Saud Univ Comput Inf Sci,2020

2. Multimodal sentiment analysis: a comparison study;Hussien IO;J Comput Sci,2018

3. Affective Computing and Sentiment Analysis

4. Affective Computing and Sentiment Analysis

5. Distinguishing between facts and opinions for sentiment analysis: Survey and challenges

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