Open AccessGRAPH - BASED MODEL FOR TEXT REPRESENTATION
Author(s) -
Anh-Tuan Nguyen,
Chi Tran Kim Nguyen,
Phi Hong Nguyen
Publication year - 2009
Publication title -
khoa học công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-0128
DOI - 10.32508/stdj.v12i7.2261
Subject(s) - text graph , computer science , graph , representation (politics) , natural language processing , artificial intelligence , information retrieval , text mining , theoretical computer science , politics , political science , law
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.