eprintid: 2997
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/29/97
datestamp: 2023-11-09 15:51:15
lastmod: 2023-11-09 15:51:15
status_changed: 2023-11-09 15:44:45
type: article
metadata_visibility: show
creators_name: Khan, K.
creators_name: Baharudin, B.B.
title: Identifying product features from customer reviews using lexical concordance
ispublished: pub
keywords: Automatic extraction; Concordance; Customer feedback; Customer review; Efficient systems; Feature grouping; Features extraction; Grouping algorithm; Online resources; Opinion mining; Product feature; Products and services, Data mining; Feature extraction; Sales, Customer satisfaction
note: cited By 1
abstract: Automatic extraction of features from unstructured text is one of the challenging problems of Opinion Mining. The trend of getting products and services reputation from online resources such as web blogs and customer feedback is increasing day by day. Therefore efficient system is required to automatically extract products features and the opinion of consumers about all aspects of the products. In this study our focus is on extraction of product features from customer reviews. We have proposed a concordance based technique for automatic extraction of features of product from customer reviews. In our proposed technique we extract patterns of lexical terms using concordance for candidate features extraction and identify features by grouping. The proposed grouping algorithm is used to remove irrelevant features. We conducted experiments on different products reviews and compared our results with existing methods. From empirical results we proved the validity of the proposed method. © Maxwell Scientific Organization, 2012.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862092851&partnerID=40&md5=d1333d4c7f9bea80f7be673ec97270be
full_text_status: none
publication: Research Journal of Applied Sciences, Engineering and Technology
volume: 4
number: 7
pagerange: 833-839
refereed: TRUE
issn: 20407459
citation:   Khan, K. and Baharudin, B.B.  (2012) Identifying product features from customer reviews using lexical concordance.  Research Journal of Applied Sciences, Engineering and Technology, 4 (7).  pp. 833-839.  ISSN 20407459