• Mounika Pasupuleti
• Subhash Bhagavan Kommina
• Nalamati Venkata Satya Pavan Sai Teja

Social media is a source that produces large amounts of data on a large scale. Most of the people took social media platforms to share their emotions and opinions on the COVID-19 pandemic. In order to find the opinion of every people is a difficult task. Sentiment analysis is used to find the opinion in the text. In this paper we have taken the data set which contains the tweets posted by different person on this pandemic. Machine learning techniques are used to classify the sentiment of the text. Among all the techniques used in the paper. Logistic Regression classifier is best with an accuracy of 69% when compared to other models.

Tweets, COVID-19, Sentimental Analysis, Twitter.

"Sentiment Analysis on Covid 19 Pandemic using Supervised Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.h93-h97, July-2023, Available :http://www.jetir.org/papers/JETIR2307710.pdf

"Sentiment Analysis on Covid 19 Pandemic using Supervised Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. pph93-h97, July-2023, Available at : http://www.jetir.org/papers/JETIR2307710.pdf