Analysis of Social Media Comments
| dc.contributor.author | Mohamed, Mazen | |
| dc.date.accessioned | 2022-01-19T16:55:35Z | |
| dc.date.available | 2022-01-19T16:55:35Z | |
| dc.date.issued | 2021-04-28 | |
| dc.description.abstract | Fighting the COVID-19 is widespread acceptance of the covid-19 vaccines. Achieving the widespread uptake might be challenging and may be obstructed by the misinformation prevalent in social media. The social media platforms have become a common source of information and disinformation on vaccines. Vaccine’s hesitancy is more prevalent in social media, especially Twitter. Machine learning models can explain the social media comments about this topic. | |
| dc.identifier.uri | https://hdl.handle.net/1920/12196 | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
| dc.subject | Social media | |
| dc.subject | Pandemic | |
| dc.subject | COVID-19 | |
| dc.title | Analysis of Social Media Comments | |
| dc.type | Working Paper |