TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets.

ABSTRACT: COVID-19, caused by SARS-CoV2 infection, varies greatly in its severity but presents with serious respiratory symptoms with vascular and other complications, particularly in older adults. The disease can be spread by both symptomatic and asymptomatic infected individuals. Uncertainty remains over key aspects of the virus infectiousness (particularly the newly emerging variants) and the disease has had severe economic impacts globally. For these reasons, COVID-19 is the subject of intense and widespread discussion on social media platforms including Facebook and Twitter. These public forums substantially influence public opinions and in some cases can exacerbate the widespread panic and misinformation spread during the crisis. Thus, this work aimed to design an intelligent clustering-based

SUBMITTER: Satu MS 

PROVIDER: S-EPMC8099549 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature