Data Mining of Automatically Promotion Tweet for Products and Services Using Naïve Bayes Algorithm to Increase Twitter Engagement Followers atPT. Bobobobo

The number of user social media Twitter in Indonesia giving benefits for companies to promote products and services via Twitter. In Twitter, to maximize the promotion it's needed more followers. Through this research data mining used to discovered follower's trend information of products or services to increase the engagement followers through automatically tweet promotion. Algorithm Naïve Bayes used to classified tweet followers based on products or services, then analyzed to get trend words and afterwards adapted to promotion tweet. The results of this research, Naïve Bayes Classification accuracy reached 90.31% used data testing from tweet product and 80.91% from data testing tweet services, and increased engagement followers reached 69%.