Rule-Based HierarchicalRank: An Unsupervised Approach to Visible Tag Extraction from Semi-structured Chinese Text

The large and growing amounts of semi-structured Chinese text present both challenges and opportunities to enhance text mining and knowledge discovery. One such challenge is to automatically extract a small set of visible tag from a document that can accurately reveal the document’s topic and can facilitate fast information processing. Unfortunately, at this stage, there is still a certain gap between the existing methods and truly engineering application.