A Novel Approach to Predict the Real Time Sentimental Analysis by Naive Bayes & RNN Algorithm during the COVID Pandemic in UAE

Author:

Radaideh Abdulrahman,Dweiri Fikri,Obaidat Mohammad

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detecting the Impact of COVID-19 on Social Media using BERT-Based Model;2024 15th International Conference on Information and Communication Systems (ICICS);2024-08-13

2. Sentimental Analysis of COVID-19 Twitter Data Using Machine Learning;Lecture Notes in Electrical Engineering;2023-12-16

3. Sentiment Analysis of COVID-19 Tweets by Machine Learning and Deep Learning Classifiers;Advances in Data and Information Sciences;2022

4. Sentimental Analysis of Twitter Data on Online Learning During Unlock Phase of COVID-19;Applied Computational Technologies;2022

5. Automatic Labeling of Twitter Data for Developing COVID-19 Sentiment Dataset;2021 5th International Conference on Electrical Information and Communication Technology (EICT);2021-12-17

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