Evaluating Public Sentiment of Covid-19 Vaccine Tweets Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Evaluating Public Sentiment of Covid-19 Vaccine Tweets Using Machine Learning Techniques

Published:2022-03-15 Issue:1 Volume:46 Page:
ISSN:1854-3871
Container-title:Informatica
language:
Short-container-title:IJCAI

Author:

Akpatsa Samuel Kofi,Li Xiaoyu,Lei Hang,Obeng Victor-Hillary Kofi Setornyo

Publisher

Slovenian Association Informatika

Subject

Artificial Intelligence,Computer Science Applications,Theoretical Computer Science,Software

Cited by 8 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. Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning;Machine Learning;2024-07-15

2. A Comparative Study of Classification Algorithms for Sentiment Analysis of Covid-19 Vaccine Opinions Using Machine Learning;2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2024-05-23

3. Use of AI and Text Mining on Twitter for the Analysis of the Concept of Tourism in Colombia;Springer Proceedings in Business and Economics;2024

4. Sentiment analysis of tweets and government translations: Assessing China’s post-COVID-19 landscape for signs of withering or booming;Global Media and China;2023-06

5. On the development of an information system for monitoring user opinion and its role for the public;Journal of Big Data;2022-11-21

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