GRAPH - BASED MODEL FOR TEXT REPRESENTATION | Zendy

Anh Hoang Nguyen | Zendy; Chi Tran Kim Nguyen | Zendy; Phi Hong Nguyen | Zendy

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GRAPH - BASED MODEL FOR TEXT REPRESENTATION

Author(s) -

Anh Hoang Nguyen,

Chi Tran Kim Nguyen,

Phi Hong Nguyen

Publication year - 2009

Publication title -

science and technology development journal

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.

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