Examining public sentiments and attitudes toward COVID-19 vaccination: infoveillance study using Twitter posts
Article
Chandrasekaran, R., Desai, R., Shah, H., Kumar, V. and Moustakas, E. 2022. Examining public sentiments and attitudes toward COVID-19 vaccination: infoveillance study using Twitter posts. JMIR infodemiology. 2 (1). https://doi.org/10.2196/33909
Type | Article |
---|---|
Title | Examining public sentiments and attitudes toward COVID-19 vaccination: infoveillance study using Twitter posts |
Authors | Chandrasekaran, R., Desai, R., Shah, H., Kumar, V. and Moustakas, E. |
Abstract | Background: |
Keywords | infoveillance, text mining, Twitter study, vaccination, sentiment analysis, tweets, COVID-19, social media, topic modeling, content analysis, coronavirus |
Publisher | JMIR Publications |
Journal | JMIR infodemiology |
ISSN | 2564-1891 |
Electronic | 2564-1891 |
Publication dates | |
Online | 15 Apr 2022 |
01 Jan 2022 | |
Publication process dates | |
Deposited | 09 May 2022 |
Accepted | 19 Mar 2022 |
Output status | Published |
Publisher's version | License |
Copyright Statement | ©Ranganathan Chandrasekaran, Rashi Desai, Harsh Shah, Vivek Kumar, Evangelos Moustakas. Originally published in JMIR Infodemiology (https://infodemiology.jmir.org), 15.04.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Infodemiology, is properly cited. The complete bibliographic information, a link to the original publication on https://infodemiology.jmir.org/, as well as this copyright and license information must be included. |
Digital Object Identifier (DOI) | https://doi.org/10.2196/33909 |
Language | English |
https://repository.mdx.ac.uk/item/89w54
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