Khairullah Khan and Baharum B. Baharudin and Aurangzeb Khan and Fazal_e_Malik
Automatic Extraction of Features and OpinionOriented Sentences from Customer Reviews
102 - 106
2010
4
2
International Journal of Economics and Management Engineering
https://publications.waset.org/pdf/10183
https://publications.waset.org/vol/38
World Academy of Science, Engineering and Technology
Opinion extraction about products from customer
reviews is becoming an interesting area of research. Customer
reviews about products are nowadays available from blogs and
review sites. Also tools are being developed for extraction of opinion
from these reviews to help the user as well merchants to track the
most suitable choice of product. Therefore efficient method and
techniques are needed to extract opinions from review and blogs. As
reviews of products mostly contains discussion about the features,
functions and services, therefore, efficient techniques are required to
extract user comments about the desired features, functions and
services. In this paper we have proposed a novel idea to find features
of product from user review in an efficient way. Our focus in this
paper is to get the features and opinionoriented words about
products from text through auxiliary verbs (AV) is, was, are, were,
has, have, had. From the results of our experiments we found that
82 of features and 85 of opinionoriented sentences include AVs.
Thus these AVs are good indicators of features and opinion
orientation in customer reviews.
Open Science Index 38, 2010