Sentiment Analysis of COV19 Impact on Education and Economy Sectors using Arabic Tweets
Author:
Affiliation:
1. Jordan University of Science and Technology,Irbid,Jordan
Funder
Jordan University of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10330164/10330433/10330491.pdf?arnumber=10330491
Reference18 articles.
1. Investigation of Views of Students and Teachers on Distance Education Practices during the Coronavirus (COVID-19) Pandemic
2. Impact of Coronavirus Disease 2019 (COVID-19) on College and University Students: A Global Health and Education Problem
3. Analysis and prediction of COVID ‐19 trajectory: A machine learning approach
4. A proposed sentiment analysis deep learning algorithm for analyzing COVID-19 tweets;Kaur,2021
5. CoAID-DEEP: An Optimized Intelligent Framework for Automated Detecting COVID-19 Misleading Information on Twitter
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