Sentiment-Topic Dynamics on COVID-19 Post-Traumatic Stress Disorder using Online Published Researches

  • Guilbert Nicanor A Atillo


This paper will analyze the COVID-19 Posttraumatic Stress Disorder (PSTD) researches retrieved from PubMed and other online sources to determine the impact of the COVID-19 pandemic on mental health leading to PSTD. The Sentiment Classifier and Latent Dirichlet Allocation (LDA) were used to detect the topic relevant to post-traumatic stress disorder. The finding revealed a negative sentiment while the use of Latent Dirichlet Allocation determined the critical issue “COVID”. The results suggest further study of the stress and other traumatic experiences bought by the COVID.


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How to Cite
A ATILLO, Guilbert Nicanor. Sentiment-Topic Dynamics on COVID-19 Post-Traumatic Stress Disorder using Online Published Researches. Asian Journal of Research in Education and Social Sciences, [S.l.], v. 3, n. 4, p. 28-35, dec. 2021. Available at: <>. Date accessed: 24 jan. 2022.