UPA Perpustakaan Universitas Jember

CCODM: conditional co-occurrence degree matrix document representation method

Wei Wei 1,2 - Personal Name
Chonghui Guo 1,2 - Personal Name
Jingfeng Chen 1 - Personal Name
Lin Tang 1,2,3 - Personal Name
Leilei Sun 1 - Personal Name

Document representation is a key problem in document analysis and processing tasks, such as document classification, clustering and information retrieval. Espe-cially for unstructured text data, the use of a suitable document representation method would affect the perfor- mance of the subsequent algorithms for applications and research. In this paper, we propose a novel document repre- sentation method called the conditional co-occurrence degree
matrix document representation method (CCODM), which is based on word co-occurrence. CCODM not only considers the co-occurrence of terms but also considers the conditional dependencies of terms in a specific context, which leads to more available and useful structural and semantic informa-
tion being retained from the original documents. Extensive experimental classification results with different supervised and unsupervised feature selection methods show that the proposed method, CCODM, achieves better performance than the vector space model, latent Dirichlet allocation, the general co-occurrence matrix representation method and the document embedding method.

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Document representation
Word co-occurrence ·
onditional co-occurrence degree matrix
Classification
Feature selection

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NPP. 3509212D1000001

CCODM: conditional co-occurrence degree matrix document representation method

Wei Wei 1,2 - Personal NameChonghui Guo 1,2 - Personal NameJingfeng Chen 1 - Personal NameLin Tang 1,2,3 - Personal NameLeilei Sun 1 - Personal Name

Series Title

Call Number

Publisher

Collation

Language

ISBN/ISSN

Classification

Content Type

Media Type

Carrier Type

Edition

Subject(s)

Specific Detail Info

Statement of Responsibility

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Wei Wei 1,2 - Personal Name
Chonghui Guo 1,2 - Personal Name
Jingfeng Chen 1 - Personal Name
Lin Tang 1,2,3 - Personal Name
Leilei Sun 1 - Personal Name