Sentiment Analysis of COVID-19 Vaccination Responses From Twitter Using Ensemble Learning

Author:

Ismail Qusai1,Obeidat Rasha1,Alissa Kefah1,Al-Sobh Eslam1

Affiliation:

1. Jordan University of Science and Technology,Irbid,Jordan

Publisher

IEEE

Reference36 articles.

1. The power of ensemble learning in sentiment analysis

2. BERTweet: A pre-trained language model for English Tweets

3. Arabert: Transformer-based model for arabic language understanding;antoun;Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools with a Shared Task on Offensive Language Detection,2020

4. Sentiment Analysis of COVID-19 Vaccine Tweets Using Machine Learning

5. Decoupled weight decay regularization;loshchilov,2017

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1. A Comprehensive Review of Sentiment Analysis: Techniques, Datasets, Limitations, and Future Scope;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19

2. Iterative Ensemble Learning over High Dimensional Data for Sentiment Analysis;Scalable Computing: Practice and Experience;2024-02-24

3. Leveraging Pre-trained Language Models for Arabic Machine Reading Comprehension with Unanswerable questions;2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS);2023-11-21

4. A Composite Sentiment Summarizer Score for Patient Reviews: Extending RoBERTa;2023 11th International Conference on Information and Communication Technology (ICoICT);2023-08-23

5. Omicron virus emotions understanding system based on deep learning architecture;Journal of Ambient Intelligence and Humanized Computing;2023-04-19

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