In a context where companies are increasingly making business decisions based on data, professionalization and specialization in areas related to Data Science becomes more important. The present work aims to present a practical approach where we collect and analyze data from the social network Twitter, from users who interacted with a streaming platform Globoplay, to perform quantitative analysis and sentiment analysis of these tweets, Machine Learning and Natural Language Processing techniques were used.