A Machine Learning Approach for Sentiment Analysis to Nurture Mental Health Amidst COVID-19
Namratha S Khasnis, Snigdha Sen, Shubhangi S Khasnis
Abstract
During the pandemic, when fresh news content is generated every minute about the widespread of the virus, many conversations revolve around the spread and cure of the contagion. At the hands of a commoner who posts news about COVID-19 on social media, the news may manifest itself to accommodate the said person's fear or negative propaganda which can potentially trigger a mass panic outbreak or can disrupt the mental health of a reader.
Topics & Concepts
Nature versus nurtureMental healthPandemicCoronavirus disease 2019 (COVID-19)PanicSocial mediaSentiment analysisPsychology2019-20 coronavirus outbreakOutbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Media studiesComputer scienceInternet privacyAdvertisingPsychiatrySociologyMedicineArtificial intelligenceVirologyBusinessAnxietyWorld Wide WebPathologyDiseaseAnthropologyInfectious disease (medical specialty)Sentiment Analysis and Opinion MiningMisinformation and Its ImpactsMental Health via Writing