Exploiting implicit and explicit network structures for text classification

• Online Access: http://hdl.handle.net/2047/d20128846

The problem of text classification is of great importance and has been studied extensively in the field of Computer Science and Machine Learning. Proliferation of digital media has led to collection of massive data in the form of documents, articles, reviews, and news. While these documents contain much important information, it is difficult to manually examine such massive sets of documents and extract the relevant information from each. Every data set has different properties and correlations between its attributes. Network structures formed by correlating some useful attributes can be very helpful for categorizing text.