• Sarthak Patel
• Kalpan Shah
• Dr. J Amudhavel

The promulgation of Covid-19 has caused widespread health concerns across the world. News and views on it are widely shared on social media. To use resources efficiently and appropriately, a realistic evaluation of the situation is required. In this research, I used Natural language processing (NLP) to do sentiment analysis on Covid-19 tweets in this study. The ability to identify Covid-19 emotions from tweets would enable more educated judgments to be made about how to handle the present pandemic scenario. Tweets are categorized as negative, positive, or neutral. This study attempts to evaluate and illustrate the global impact of the coronavirus (COVID-19) by using sentiment analysis techniques and methodologies on the Twitter dataset to comprehend both extremely favorable and very negative public opinion throughout the world.

Covid-19, Twitter, Twitter API, Natural Language Processing (NLP), Twitter Sentiment Analysis

"COVID 19 TWEETS GEO AND SENTIMENTAL ANALYSIS AND CLASSIFICATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.d296-d302, October-2021, Available :http://www.jetir.org/papers/JETIR2110336.pdf

"COVID 19 TWEETS GEO AND SENTIMENTAL ANALYSIS AND CLASSIFICATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppd296-d302, October-2021, Available at : http://www.jetir.org/papers/JETIR2110336.pdf