• Shweta Mahajan
• Dr. Dayanand Ingle

Today internet has a big number of social media sites for online learning, developing new ideas, and sharing their ideas, thoughts, opinions, views, and feelings about anything with a huge amount of people throughout the world. Nowadays it is very free to discuss your ideas and establish own business using social media platforms such as Facebook, Twitter, websites and others, and to raise one's own voice and share their opinions on a regular basis. Sentiment analysis from Twitter has recently among the largest attractive academic disciplines. For the aim of developing such systems, it blends natural language processing techniques with data mining technologies. I presented an effective technique for analysing Twitter sentiment in this research. To compare accuracy, several machine learning classification methods such as naive bayes, SVM, KNN, decision tree, logistic regression were developed for recognising positive and negative tweets.

Twitter, Covid 19 vaccines, Polarity, Sentiment, Machine learning

"NLP and ML Based Framework for Covid-19 Statistical Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.e623-e628, October-2021, Available :http://www.jetir.org/papers/JETIR2110492.pdf

"NLP and ML Based Framework for Covid-19 Statistical Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppe623-e628, October-2021, Available at : http://www.jetir.org/papers/JETIR2110492.pdf