Opinion mining has become difficult due of the overabundance of user-generated information on social media. Twitter is used to gather opinions about products, trends, and politics as a microblogging site. Sentiment analysis is a method for examining someone's attitude, feelings, and views. Different individuals toward anything, and it is possible to do so by analysing tweets to determine how people feel about the news, regulations, social movements, and people. Opinion mining may be carried out without manually reading tweets by using Machine Learning models. Their findings could be useful to corporations and governments as they implement policies, programmes, and events. The use of seven machine learning models for emotion acknowledgment by dividing tweets into pleased and angry categories. An extensive performance comparison investigation revealed that the suggested voting classifier (LR-SGD with TF-IDF) gives the best results.