Sentiment Analysis about Large-Scale Social Restrictions in Social Media Twitter Using Algoritm K-Nearest Neighbor

Sentiment analysis is a data processing to recognize topics that people talk about and their sentiments toward the topics, one of which in this study large-scale social restrictions (PSBB). This aims classify negative positive by applying K-Nearest Neighbor algorithm see accuracy value 3 types distance calculation are cosine similarity, euclidean, manhattan for Indonesian language tweets (PSBB) from media twitter. With results obtained, Cosine Similarity 82% at k = 3, Euclidean Distance with an 81% 11 Manhattan 80% 5, 7, 9, 11, 13. So, gets highest point.