ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP PRODUK XIAOMI DENGAN MENGGUNAKAN ALGORITMA K-MEANS DAN NAÏVE BAYES

With the advent of Web 2.0 both companies and individuals are increasingly using content in social networking media to make decisions. Xiaomi as one of the companies engaged in electronics has used Twitter as a promotional medium. The purpose of this research is to find out people's sentiment towards Xiaomi products on Twitter and to find out the accuracy of the k-means and naïve Bayes algorithm. This research was conducted using the K-means algorithm and Naïve Bayes. the k-means algorithm is used for grouping comments and naïve bayes are used for classification and calculating accuracy. Based on the research that has been done, the results of the k-means algorithm are 185 positive data and 59 negative items while the naïve Bayes algorithm has a precision of 98,17%, 87,03% recall, 92,27% f-measure and 88,93% Accuracy.