Exploring Sentiment Through Cognitive Computing on Social Media Content

The Covid-19 epidemic is regarded as the most serious concern of our day. It has an impact on many parts of our life, including schooling. As a result, practically every country's education system now requires distance study. Some people found it easy to accept this method, while others thought it was insufficient. In the context of the COVID-19 disruptions of education, especially distance learning, there is the need to leverage cognitive intelligence to determine their social, developmental, and emotional effects on students and educators. Cognitive intelligence, through sentiment analysis, provides the ability to process, learn, and adapt based on user-generated content, enabling policymakers to gain actionable insights into public sentiment. This study utilizes cognitive intelligence principles to assess the efficacy of distance learning using sentiment analysis on a dataset of 202,700 tweets shared during global lockdowns.