Data extraction and cleansing of semi-structured Chinese texts

Author

Zhu, Wei-heng ; Long, Shun

Author_Institution

Dept. of Comput. Sci., Jinan Univ., Guangzhou, China

Volume

1

fYear

2011

fDate

13-15 May 2011

Firstpage

726

Lastpage

729

Abstract

The rapid growth of data mining generates an ever-increasing demand for automatic information extraction from Chinese texts. However, existing approaches in this domain focus on well-structured Chinese texts and therefore have difficulties in dealing with semi-structured Chinese texts which do not conform to strict syntactic structures. We propose in this paper an approach to semi-automatic data extraction and cleansing for these texts. Preliminary experimental results show that, with modest manual intervention, it can effectively extract information from raw semi-structured Chinese texts collected from e-business applications.

Keywords

business data processing; data mining; information retrieval; natural language processing; text analysis; automatic information extraction; data mining; e-business application; semiautomatic data extraction; semistructured Chinese text; text cleansing; Data mining; Data warehouses; Manuals; Merchandise; Semantics; Syntactics; Terminology; Chinese; data cleansing; data extraction; manual intervention; semi-structured text;

fLanguage

English

Publisher

ieee

Conference_Titel

Business Management and Electronic Information (BMEI), 2011 International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-61284-108-3

Type

conf

DOI

10.1109/ICBMEI.2011.5917038

Filename

5917038