Title :
Mining E-commerce feedback comments for trust evaluation
Author :
T Emayakumaari;G Ananthi
Author_Institution :
Dept. of CSE, Mepco Schlenk Engineering College, Sivakasi, India
fDate :
3/1/2015 12:00:00 AM
Abstract :
Buyers express their opinions openly in free text feedback comments. The users are attracted to online-shopping not only due to the convenience in accessing the information of items on-sold, but also the availability of the other buyer´s feedback on their purchasing experience, item-related and/or seller-related. The Mining E-Commerce feedback comments for trust evaluation System proposes a novel technique that uses a multi-dimensional trust evaluation model, for computing comprehensive trust scores for sellers in e-commerce applications. The system computes dimension trust scores and the dimension weights. It automatically extracting dimension ratings from feedback comments and by combining natural language processing with opinion mining and summarization techniques in trust evaluation to improve the accuracy for mining process.
Keywords :
"Accuracy","Computational modeling","Conferences","Sentiment analysis","Mathematical model","Speech","Tagging"
Conference_Titel :
Engineering and Technology (ICETECH), 2015 IEEE International Conference on
DOI :
10.1109/ICETECH.2015.7275028