Abstract
Traditionally, since text mining has been assumed unformatted text (document), it is necessary to represent text as a simplified model. One of most commonly used model is the vector space model, in which text is represented as a bag of words. Recently, much research tried to apply a graph-based text mod- el for representing semantic relationships between words. In this paper, we sur- vey research trends of graph-based text representation models for text mining. We summarized each model, its features and forecasted further researches.
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