Stress, anger, fear or negative relationships known as risk factors in heart diseases. Unfortunately this factors can not he measured with numeric data. In this study, main goal is system approach that classifies datas received from social media, specifically Twitter. Statistics and Twitter datas gathered based on cities of Turkey. In this system approach, Multinomial Naive-Bayes method has used as classifier and experimental results show 87.06% success rate.