Title :
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
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;
Conference_Titel :
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3488-6
DOI :
10.1109/KAM.2008.138
