Now a days, Social media playing a crucial role in social media site and distributing of data. Social media sites like a Twitter, Facebook , and YouTube provide the best venues for students to share happiness and struggle, vent emotion and stress, and seek social support. On diverse social media sites, students debate and share their everyday encounters in an not formal. Student's profession provide very large amount of implicit knowledge and a complete new opinion for educational researchers and practitioners to understand student's experiences outside the controlled classroom ecosystem. A work-flow is developed which combine both qualitative analysis and large-scale data mining . Hence these issues are differentiated using Naive Bayes Multi-label Classifier algorithm. This task can help in perceive the student's problem in efficient way.

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Data Mining Social Media Text Mining.