Moth Flame Optimization With Hybrid Deep Learning Based Sentiment Classification Toward ChatGPT on Twitter-Reference-Cited by-同舟云学术

Moth Flame Optimization With Hybrid Deep Learning Based Sentiment Classification Toward ChatGPT on Twitter

Published:2023 Issue: Volume:11 Page:104984-104991
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aljebreen Mohammed¹,Alabduallah Bayan²^ORCID,Asiri Mashael M.³,Salama Ahmed S.⁴,Assiri Mohammed⁵^ORCID,Ibrahim Sara Saadeldeen⁶

Affiliation:

1. Department of Computer Science, Community College, King Saud University, Riyadh, Saudi Arabia

2. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

3. Department of Computer Science, College of Science and Art at Mahayil, King Khalid University, Abha, Saudi Arabia

4. Department of Electrical Engineering, Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Egypt

5. Department of Computer Science, College of Sciences and Humanities-Aflaj, Prince Sattam bin Abdulaziz University, Al-Kharj, Al-Aflaj, Saudi Arabia

6. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Deanship of Scientific Research at King Khalid University

Princess Nourah bint Abdulrahman University Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

King Saud University, Riyadh, Saudi Arabia

Prince Sattam bin Abdulaziz University project

Future University in Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10251500.pdf?arnumber=10251500

Reference27 articles.

1. Can ChatGPT be Trusted for Consulting? Uncovering Doctor’s Perceptions Using Deep Learning Techniques

2. An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges

3. Analyzing the User's Sentiments of ChatGPT Using Twitter Data

4. Mapping ChatGPT in mainstream media: Early quantitative insights through sentiment analysis and word frequency analysis;Karanouh;arXiv:2305.18340,2023

5. ‘I think this is the most disruptive technology’: Exploring sentiments of ChatGPT early adopters using Twitter data;Haque;arXiv:2212.05856,2022

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