IMPLEMENTATION OF K-NEAREST NEIGHBOR ALGORITHM FOR SENTIMENT ANALYSIS CASE STUDY ANGKET EVALUASI PERKULIAHAN (AEP)
Daftar Isi:
- ABSTRACT The questionnaire is one of the most commonly used data or data collection techniques in lectures. Questionnaire Evaluation Lecture (AEP) is used to determine the results of student evaluation of the lecture system experienced in a semester of lectures. Unfortunately to determine which questionnaire has a positive response or a negative response can not be determined automatically. To assist lecturers in determining the responses contained in the questionnaire, for that project was created. The project uses the K-Nearest Neighbor algorithm to classify questionnaire opinions based on similarities between documents. This project will determine the opinions contained in the questionnaire and classify the questionnaire with positive and negative opinions Keywords: K-Nearest Neighbour, Sentiment Analysis, Cosine Similarity