Covid-19 Twitter Sentiment Analysis Using Machine Learning
dc.contributor.author | Ali, Muhammad | |
dc.contributor.supervisor | Gulliver, T. Aaron | |
dc.date.accessioned | 2022-09-22T19:13:45Z | |
dc.date.available | 2022-09-22T19:13:45Z | |
dc.date.copyright | 2022 | en_US |
dc.date.issued | 2022-09-22 | |
dc.degree.department | Department of Electrical and Computer Engineering | en_US |
dc.degree.level | Master of Engineering M.Eng. | en_US |
dc.description.scholarlevel | Graduate | en_US |
dc.identifier.uri | http://hdl.handle.net/1828/14254 | |
dc.language.iso | en | en_US |
dc.rights | Available to the World Wide Web | en_US |
dc.subject | Covid-19 | en_US |
dc.subject | pandemic | en_US |
dc.subject | #corona | en_US |
dc.subject | #covid | en_US |
dc.title | Covid-19 Twitter Sentiment Analysis Using Machine Learning | en_US |
dc.type | project | en_US |