Sentiment Classification on Twitter and Zomato Dataset Using Supervised Learning Algorithms

ABSTRACT

Natural Language Processing (NLP) is a special type of Machine Learning that takes care of unstructured data from the real world. Sentiment Analysis is the 'computational' method that decides whether the given sentence or paragraph is positive, negative or neutral. It derives a people's feelings, opinion and attitude etc. Using sentiment analysis tools in Twitter data to evaluate views and attitude which may help companies understand how people think about various events or products. In this paper, we have collected tweets dataset from twitter of hashtag COVID-19 and CORONA VIRUS. For Twitter dataset, we performed sentiment analysis and on Zomato dataset, Supervised Machine Learning Classification algorithms. Random Forest has got highest accuracy as 94.90 %. © 2020 IEEE.