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Text representation models are very important pre-processing step in various domains such as text mining, information retrieval, natural language processing. In this paper we summarize graph-based text representation models. Graph-based model can capture structural information such as the location, order and proximity of term occurrence, which is discarded under the standard text vector representation models. We have tested this graph model in Vietnamese text classification system.

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Issue: Vol 12 No 7 (2009)
Page No.: 5-14
Published: Apr 15, 2009
Section: Article

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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, A., Nguyen, C., & Nguyen, P. (2009). GRAPH - BASED MODEL FOR TEXT REPRESENTATION. Science and Technology Development Journal, 12(7), 5-14.

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