The student behavior analysis requires domain specific data for training and validation purpose. Collection of data is a primary task which is facilitated using social media. Class experiences of students is an ongoing process. Students discuss about their class experiences on social media, gathering information on their behavior and personalities can be done through the use of sentiment analysis tools, which is one of several potential solutions. In this research paper studied extensive literature reviews, studied various deep learning model used for student behavior analysis and also studied unique flowchart for proper analysis of machine learning model. The outcomes have provided a better understanding of the students' virtual sentiment in relation to the actions and valuations of the programme, as well as the variation of that sentiment over the course of the time that the programme has been running.

Sentiment Analysis, Learning interactive object, learning behavior diversity, e-Learning behavior, and academic performance prediction