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http://dx.doi.org/10.7236/JIIBC.2013.13.5.37

A Study on Research Trends of Graph-Based Text Representations for Text Mining  

Chang, Jae-Young (Dept. of Computer Engineering, Hansung University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.13, no.5, 2013 , pp. 37-47 More about this Journal
Abstract
Text Mining is a research area of retrieving high quality hidden information such as patterns, trends, or distributions through analyzing unformatted text. Basically, since text mining assumes an unstructured text, it needs to be represented as a simple text model for analyzing it. So far, most frequently used model is VSM(Vector Space Model), in which a text is represented as a bag of words. However, recently much researches tried to apply a graph-based text model for representing semantic relationships between words. In this paper, we survey research trends of graph-based text representation models for text mining. Additionally, we also discuss about future models of graph-based text mining.
Keywords
Text Mining; Vector Space Model; Graph-Based Model; Text Representation;
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