Intellectual Behaviour of Student Based on Education Data Determined by Opinion Mining

Abstract

Every student has individual thought process which make them unique and intelligent in their own way. Intellectual behaviour is a relation between thoughts, learning and knowledge. This paper focus on Students' feedback which is crucial for an institution to evaluate intellectual behavior of student. Opinion Mining (OM) deals with classifying and identifying opinion expressed by the students. The requirement of OM is to understand and analyse dissimilar behaviour of different personality which is a collection of extracted information from various resources. A solution to analyse cognitive behaviour of students based on the OM is a Natural Language Processing (NLP) and task of extracting information which discovers user's opinion interpreted in terms of positive or negative comments. The OM has played an important role in cognizing the emotional and intellectual behavior of university student through social media which may either be accomplished with viable or untenable education. Machine Learning (ML) algorithm helps to find the accuracy of polarity present in the OM. The Support Vector Machine (SVM) has shown better accuracy which is 93% through OM on the analysis of intellectual behavior for the student based on their knowledge and learning methodology.