Implementation Opinion Mining For Extraction Of Opinion Learning In University

Opinion mining is a field of Natural Language Processing (NLP) that used to carry out the process extracting and processing textual data which functions obtain information through sentiment analysis from document in form text, among others, detect attitudes towards objects or people. Sub-processes opinion can use documents subjectivity, orientation, detection targets find as analysis, aims assess emotions, attitudes, opinions, evaluations conveyed by speaker writer product public figure. In this study, an system was developed analyze learning college. The methodology quantitative descriptive, while uses Azure machine learning. Sentiment results are very good at assessing opinions someone. main element must run well so competency achievement be maximally students. Documents identified were then classified into negative, neutral, positive based on results. general, it concluded value obtained using Machine Learning tools quite good, judging class 0.79 neutral 0.53. cleaning labeling techniques other classifications still possible use. To get better accuracy value.