A Survey On Analyzing Students?Academic Experiences Using Social Media Data

Priya Lande, Vipul Dalal

Abstract: Students? social media behavior reveals about their day-to-day life. Students post their experiences on social networking sites be it personal or academic. Analysis of these posts, however, is not an easy task. Pure manual analysis is not fruitful as data increases at a rapid rate. There is a workflow developed by the survey topic that assimilates the qualitative analysis and data mining techniques. The focus is primarily on engineering students? posts so their problems can be analyzed. This uses the approach of multi-label classification, which is due to building of categories among students? problems-heavy study load, sleep deprivation, lack of social engagement, etc. This enables social media to shed light on students? academic experiences.

Keywords: Education, web text analysis, social-networking, students.