Article,
Identification of Students Behavior in Higher Education from Social Media by using Opinion based Memetic Classifier
International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3): 1074--1078 (March 2015)
DOI: 10.17762/ijritcc2321-8169.150339
Abstract
Social media sites such as Twitter, Facebook, You-tube are very popular social sites in higher educational student’s like engineering, medical, pharmacy, trainees and other than student’s also. These social media sites provides a great platform or venues for student’s to share their views, emotions, stress, opinions, feelings about the learning process. Our aim is to extracting this data from social media sites for identifying the student’s behavior and their opinions. The technique provides a benefit for institute or an organization to understand student’s behavior. It saves our lots of time to understand the student’s views. In this paper our main focus is on higher educational students for understanding student’s behaviour from social media. For this we can use opinion based memetic classifier technique to integrate large scale data mining techniques and qualitative analysis to provide a better classification result of students behavior with the focus on sentimental analysis.
