A Novel Multi label Text Classification Model using Semi supervised learning

Shweta C Dharmadhikari
2012 International Journal of Data Mining & Knowledge Management Process  
Automatic text categorization (ATC) is a prominent research area within Information retrieval. Through this paper a classification model for ATC in multi-label domain is discussed. We are proposing a new multi label text classification model for assigning more relevant set of categories to every input text document. Our model is greatly influenced by graph based framework and Semi supervised learning. We demonstrate the effectiveness of our model using Enron , Slashdot , Bibtex and RCV1
more » ... . Our experimental results indicate that the use of Semi Supervised Learning in MLTC greatly improves the decision making capability of classifier.
doi:10.5121/ijdkp.2012.2402 fatcat:hhn3aa63zjdovnwgbvy25v236a