• KEERTI SOURAV NAMANI
• SAHITHYA NAMANI
• MOUNIKA GURUMURTHY
• SOWJANYA JINDAM

The COVID-19 has resulted in schools, colleges and universities shut all across the world. Globally, over 1.2 billion children are out of the classroom. In response to schools, colleges and universities closures, UNESCO recommended the use of distance learning programmes and open educational applications and platforms that schools and teachers can use to reach learners remotely and limit the disruption of education. By this e-learning there is a significant gap between those from privileged and disadvantaged backgrounds. Some students without reliable internet access and/or technology struggle to participate in digital learning. In our proposed system we collect the opinions of the e-learning from the students, teachers and parents to analyze the changes of educational systems during the COVID-19 pandemic. We use sentiment analysis to mine the polarity of the opinions of the students, teachers and parents. In this project, it is identified the impact of pandemic on education sector by categorizing the population set into students, teachers, and parents locating in urban and rural areas.

Sentiment Analysis, Impact, Education sector, Reviews, Sentiment, Logistic Regression, Natural Language Processing, Classification

"Impact of COVID-19 Pandemic on Education using Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.f75-f81, June-2021, Available :http://www.jetir.org/papers/JETIR2106712.pdf

"Impact of COVID-19 Pandemic on Education using Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppf75-f81, June-2021, Available at : http://www.jetir.org/papers/JETIR2106712.pdf