A Hybrid AI Model for Improving COVID-19 Sentiment Analysis in Social Networks-Reference-Cited by-同舟云学术

A Hybrid AI Model for Improving COVID-19 Sentiment Analysis in Social Networks

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Thapar Kunal¹,Singh Rahul¹,Fadlullah Zubair Md¹,Fouda Mostafa M.²,Nasser Nidal³,Ali Asmaa⁴

Affiliation:

1. Lakehead University,Department of Computer Science,Thunder Bay,Canada

2. Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA

3. Alfaisal University,College of Engineering,KSA

4. Queens’ University,School of Computing,Kingston,Canada

Funder

Alfaisal University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09839198.pdf?arnumber=9839198

Reference11 articles.

1. Social media sentiment analysis based on COVID-19

2. Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media

3. COVID-19 outbreak: Tweet based analysis and visualization towards the influence of coronavirus in the world;muthusami;Gedrag & Organisatie Review,2020

4. COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

5. Informational flow on Twitter–Corona virus outbreak– topic modelling approach;kaila;International Journal of Advanced Research in Engineering and Technology (IJARET),2020

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