Online Student Feedback System Using Machine Learning

In order to develop plans enhance the teaching experience, student feedback data analysis is a very good tool relationship between teachers and students. This research present an analytical model for from systems improve quality of in academic institutions universities. The developed system this uses lexical algorithm SVM, which has best accuracy one machine learning algorithms that can provides textual useful insights into overall methods. online was created. used get students about their methods teaching. large database collect dataset all at different colleges university level. administrators include staff on college levels colleges. All will be provided with unique usernames passwords log system. Among main tasks administrator create classes questions are designed two questionnaire forms. first form related subject. second general education using SVM algorithm, but it requires more training time sets classify text. proved excellent educational status university. It also helps reduce manual labor collecting, storing analyzing data. efficient way provide qualitative improves student-learning performance.