Show simple item record

dc.contributor.authorMia, Md Rasel
dc.contributor.authorKabir, Ahmed Imran
dc.date.accessioned2022-06-01T07:17:55Z
dc.date.available2022-06-01T07:17:55Z
dc.date.issued2022-06-01
dc.identifier.urihttp://dspace.uiu.ac.bd/handle/52243/2446
dc.description.abstractIn China, healthcare specialists discovered a new and unknown virus around the end of December 2019. Later, it was recognized as Coronavirus; the virus rapidly spread over the globe. Lockdowns, and social isolation were the primary measures taken by every nation's government to control of the virus. In February 2022, the World Health Organization (WHO) announced that fast immunization reduces Coronavirus infection rates by 21 percent. After the COVID-19 epidemic, the researchers anticipated that another pandemic, mental health, would spread over the world. In fact, the psychological influence on the general population during and after the COVID-19 outbreak has grown vulnerable. The purpose of this work was to do a sentiment analysis on Twitter data using the Python programming language in order to determine the psychological influence of Twitter users in the post-covid era.en_US
dc.subjectNatural Language Processingen_US
dc.subjectPythonen_US
dc.subjectText Miningen_US
dc.subjectSentiment Analysisen_US
dc.subjectTwitter Analyticsen_US
dc.subjectCovid-19en_US
dc.subjectPost Coviden_US
dc.subjectMental Healthen_US
dc.subjectPsychological Impacten_US
dc.titlePost-Covid Psychological Impact on Social Media Users: A Study on Twitter Usersen_US
dc.typeProject Reporten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record