Recent Trends in Sentiment Analysis using Different Machine Learning based Models: A Short Review

Innovation is transforming the entire world rapidly. Every person is using the internet, and it has become an everyday requirement. Nowadays, every person uses the Web 3.0 and shares knowledge and opinions through social networking sites such as $\mathbf{Google}+$, Facebook, and Twitter. These opinions and thoughts are of great importance for first-time users, as they seek to get insights from these written texts to make their own decisions. This study's goal is to survey, make a comparison analysis, and present performance assessment data for all currently used machine learning approaches for sentiment analysis, making use of machine learning models (multinomial Naive Bayes, Support Vector Machines, and Logistic Regression).