A frequent pattern mining algorithm for feature extraction of customer reviews
Seyed Hamid Ghorashi, Roliana Binti Ibrahim, Shirin Noekhah, Niloufar Salehi Dastjerdi · 2012
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.