부산대학교 도서관

Sentimental Analytics is the phenomenon used to show the feelings of different people, emotions, opinions. It is also referred as the opinion meaning, which identifies the emotional tone behind a body of text The Mechanism gives whether the result is positive, negative, or neutral. It gives finer results, to keep track of users, and tells whether the tweet is uplifted or down lifted by the user's content. Machine learning can be analyzed by using various analysis algorithms to provide a precise value. Machine learning algorithms play a major role in various domains, and one of them includes data analysis. In this work, machine learning techniques are used to predict the Twitter analysis. Machine Learning (ML) algorithms such as Support Vector Machine (SVM), Logistic Regression (LR), and Naive Bayes (NB) algorithm are used for implementation. The performance of the implemented algorithm is analyzed in the terms of accuracy, precision, recall, F1-score on the tweets taken from the social media.