Sentimental Analysis on E-learning Videos for Learner’s Opinion Using Machine Learning Methodology - Support Vector Machine

E-learning is today’s most popular self-learning form for students and educators. There is a problem and concern in e-learning. This is the emphasis of this undeniable demand for complexities and personalization learning opportunities that increase student knowledge. In the text mining company, sentimental analysis is one of the most critical regions. The vector thoughts of several customers in each of them as a single data set are compiled and are analysed. E-learning is generally referred to as educational attempts to convey knowledge through the use of computers. In the setting of a non-traditional classroom. It’s unlikely for customers to inquire if the e-courses are relaxed. Sentiment analysis helps users to easily classify using e-learning portals. The recorded emotional inputs information’s are used by the e-learning methods. Of the entity, and it can be used. Analyses the actions of the customer every time. Students’ anti-course feelings will serve feedback on online e-learning sites. The automatic emotional analysis allows students in the planned e-learning method to evaluate the pages on the e-portal and other input from the professors. Here for the Automated Emotional Study of Support Vector Machine.KeywordsSupport vector machineSentimental analysisE-learning videos