Sentiment Analysis For STC Customer Tweets

This project is Machine-Learning based using Natural Language Processing techniques. Our project aims to determine the degree of STC's customers experience based on their tweets about STC, both positively, negatively, and naturally. It serves Saudi Arabia and helps increase customer satisfaction. We used three ML classifiers, which are: DT (Decision Tree), MNB (Multinomial Naive Bayes), and SVM (Support Vector Machine).