Credit Distribution: A Graph-Based Approach to Extract Product Description Words

Author

Cen, Songxiang ; Mao, Yu ; Li, Rongjun ; Wang, Xiaojie

Author_Institution

Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., Beijing

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

398

Lastpage

402

Abstract

In this paper, we proposed a method called "Credit Distribution" to extract product entities and features from Chinese customer reviews. Given several seed words, the system can discover new entity words and feature words appeared in the corpus. Quite different from the previous work, the proposed method first draws the graph of words in the corpus and then distributes the credit from the given seed words based on the graphpsilas topology structure. Finally, high ranked words are extracted. Our experiment results show that the method proposed here is highly effective.

Keywords

graph theory; nomenclature; product customisation; word processing; Chinese customer reviews; credit distribution; entity words; graph topology structure; graph-based approach; high ranked words; product description words; product entities; Cellular phones; Data mining; Humans; Internet; Iterative algorithms; Knowledge acquisition; Knowledge engineering; Manufacturing; Terminology; Topology; Graph; PMI; Terminology extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3488-6

Type

conf

DOI

10.1109/KAM.2008.138

Filename

4732853