Does technology assist to continue learning during pandemic? A sentiment analysis and topic modeling on online learning in south asian region.

Online mode of education has been identified as the subtle solution to continue learning during the pandemic. However, the accessibility to online platforms, suitable devices, and connections are not equal across the globe thus raising the question of whether the opinion of the public in the South Asian region where the technology is not comparatively higher as in the western world would be the same as that to the global perspective. This study involves the sentiment analysis of natural language processing on recently tweeted data and concludes that the sentiment of the South Asian public remains positive as online education is the most suitable approach to overcome the learning difficulties during a pandemic.

Exploring the molecular subclasses and stage-specific genes of oral cancer: A bioinformatics analysis.

The rate of people getting affected by Oral cancer in Sri Lanka is growing rapidly since the root cause of such cancer, betel quid chewing is tightly coupled with the tradition of the country. The five-year survival rate of the disease is also pretty low as it is typically detected at advanced stages. This urges a comprehensive study on the marker genes of oral cancer for the successful therapeutic revisions that would potentially identify cancer in its early stages.