• Mahima H. Bachhav
• Harshita P. Tandale
• Vaishnavi B. Rubde
• Pratiksha R. Shitole
• Shraddha R. Khonde

NLP (Natural Language Processing) is a subset of Machine Learning that deals with unstructured data from the real world. The 'computational' way of determining whether a given sentence or paragraph is positive, negative, or neutral is known as sentiment analysis. It derives a person's feelings, opinions, and attitudes, among other things. Using sentiment analysis methods to evaluate views and attitudes in Twitter data, which could help businesses better understand how people feel about particular events or products. In this paper, we gathered a dataset of tweets using the hashtags COVID-19 and CORONA VIRUS from Twitter. Sentiment analysis was performed on the Twitter dataset, as well as Supervised Machine Learning Classification methods. The best accuracy of Random Forest is 94.90%.

Machine Learning, Natural Language Processing, SVM, NB, Sentiment Analysis

"Sentiment Classification on Twitter Dataset Using Supervised Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.b679-b684, April-2022, Available :http://www.jetir.org/papers/JETIR2204182.pdf

"Sentiment Classification on Twitter Dataset Using Supervised Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppb679-b684, April-2022, Available at : http://www.jetir.org/papers/JETIR2204182.pdf