A Study on Emotion Analysis for Online Learning Based on Students' Feedback via Social Networks

Abstract

Educational Data mining (EDM) in e-Learning systems is a rapidly growing phenomenon. It’s used to improve education by monitoring student performance and trying to understand the students’ learning. Past two decades the teachers collecting the feedback from their students through a written words. This method is very time consuming. Now a dayse-Learning system familiar for the virtual class room environment and learners free to learn at their own pace and to define personal learning path based on their individual needs and interests. This system provides the learning support through explanation, examples, interactive and feedback. The data of feedback is an essential part of effective learning. It helps students understood the subject being studied and gives us idea to give how to improve their learning. The data of feedback can be collected in different ways, such as chart window, SMS, e-Mail, Voice mail and Social Media like twitter, whatsapp. This kind of data should be collected from student in the mode of audio, video and text through social media. This data should be realised the positive and negative or emotion of the students. This paper presents a survey on the analyse of the students feedback by using sentiment analysis methodologies.