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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