Abstract
Thanks to e-commerce in an increasingly developing structure the number of customer feedbacks grows rapidly. Due to the great increase in the number of e-commerce enterprises and customers, it becomes difficult for a potential customer to read these feedbacks while decision-making. It becomes almost impossible for the producer to monitor these feedbacks, as well. Product feature extraction from customer reviews is an important sub-research area in opinion mining. The extracted features help to assess the opinions written by customers who have purchased specific products and they provide opinions of customers regarding their positive/negative experiences. Because most of customer reviews are asyntactic plain texts, methods should be developed for extraction of implicit and explicit product features expressed in customer reviews and comments. In this research, we aim at developing a system which reviews and summarizes feedbacks given in Turkish language. Our study differs from others in that it combines synonym word/word groups, that it uses ontology including product features and that it combines Turkish abbreviations/loan words and it increases the success in extraction of product features. Our test results using feedbacks of particular products on the web indicates the impact of our study.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.