Sentiment analysis of Twitter posts related to the COVID-19 vaccines
A real threat to the people of the world has appeared as a result of the spread of the Coronavirus disease of 2019 (COVID-19) disease. A lot of scientific and financial support has been made to devote vaccines capable of ending this epidemic. However, these vaccines have become a subject of debate b...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2021-12-01.
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| Online Access: | Get fulltext |
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| LEADER | 02206 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs25942_15822 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Alabid, Noralhuda N. |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Katheeth, Zainab Dalaf |e author |
| 245 | 0 | 0 | |a Sentiment analysis of Twitter posts related to the COVID-19 vaccines |
| 260 | |b Institute of Advanced Engineering and Science, |c 2021-12-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25942 | ||
| 520 | |a A real threat to the people of the world has appeared as a result of the spread of the Coronavirus disease of 2019 (COVID-19) disease. A lot of scientific and financial support has been made to devote vaccines capable of ending this epidemic. However, these vaccines have become a subject of debate between individuals, as some people tend to support taking vaccines and others rejecting them. This paper aims to create a framework model to classify the sentiment and opinions of individuals that published in Twitter regarding the COVID-19 vaccines. Identify those opinions can help public health institutions to know public opinions and direct their efforts towards promoting taking vaccinations. Two of the machines learning classification models which are the support vector machine (SVM) and naive Bayes (NB) classifier are applied here. Other pre-processing methods were applied as well to filter unstructured tweets. | ||
| 540 | |a Copyright (c) 2021 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a computer science - NLP | ||
| 690 | |a COVID-19; Data analytics; Sentiment analysis; Text mining; Vaccinations; | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 24, No 3: December 2021; 1727-1734 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v24.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25942/15822 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25942/15822 |z Get fulltext |