Universiti Teknologi Malaysia Institutional Repository

A frequent pattern mining algorithm for feature extraction of customer reviews

Ghorashi, Seyed Hamid and Ibrahim, Roliana and Noekhah, Shirin and Dastjerdi, Niloufar Salehi (2012) A frequent pattern mining algorithm for feature extraction of customer reviews. International Journal of Computer Science Issues (IJCSI), 9 (4). pp. 29-35. ISSN 1694-0784

Full text not available from this repository.

Official URL: http://www.ijcsi.org/articles/A-frequent-pattern-m...

Abstract

Online shoppers often have different idea about the same product. They look for the product features that are consistent with their goal. Sometimes a feature might be interesting for one, while it does not make that impression for someone else. Unfortunately, identifying the target product with particular features is a tough task which is not achievable with existing functionality provided by common websites. In this paper, we present a frequent pattern mining algorithm to mine a bunch of reviews and extract product features. Our experimental results indicate that the algorithm outperforms the old pattern mining techniques used by previous researchers.

Item Type:Article
Uncontrolled Keywords:association rule, pattern mining, product feature, text mining
Subjects:H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:30391
Deposited By: Yanti Mohd Shah
Deposited On:21 Apr 2013 11:24
Last Modified:27 Jun 2019 14:08

Repository Staff Only: item control page