Improved Students’ Social Media Content Analysis Using Machine Learning Algorithm

Sentimental Analysis has become most profound research areas for prediction and classification. Student’s discussion on social media contains sentiwords that are a word or set of words expressing some thought or judgment or idea about something which provides us with some idea about their experiences in learning and views about the particular field [5]. Data from social media site would be raw and difficult to understand but by analyzing it through supervised learning approach we can find out the exact views of students. In this Paper MultiLabel Text Classification is done with Label Correlational Model will give us desired result which wasn’t possible with conventional Single Label Classification. The proposed work is to extract the features of text in the form of labels and Correlational Model can find the relation between the labels and understanding among Labels.