Honours dissertation: COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News

Activity: Supervision/Examination/MentoringInternal HDR Supervision

Description

Dissertation is submitted in the form of journal article (the co-authorship shows the evidence of supervision). For further confirmation, contact course director: Rosemary Woolston ([email protected]) or associate head of SCME Michael Kemp ([email protected])
Period2021 → …
ExamineeDylan Warman
Examination held at
Degree of RecognitionInternational

Keywords

  • Machine learning
  • Natural language Processing
  • Fake News
  • COVID-19
  • Web application
  • Detection
  • classification
  • Explainability