Purchase Process Aspect-based Opinion Mining = An Application for Online Shopping Mall

다국어 초록 (Multilingual Abstract)

The development of smartphone and handheld devices with wireless Internet supported has made users more conveniently access to e-retails sites than ever before. Users not only use these sites for shopping but also for giving their feedbacks and suggestions that will be useful for other users and enterprises. However, large unstructured data of online reviews that needs to be explored, analysed and organized for better decision making become challenging tasks for researchers and practitioners. Opinion mining techniques that identify the customer opinion help classify the form of positive, negative or neutral comments and quotes underlying the text. Aspect based opinion mining determines the aspect of the given reviews and classify the review for each aspect. In this paper we extended aspect based opinion mining system and proposed a method for classify the reviews as positive, negative and neutral toward online buying process aspects in online shopping mall context. By applying opinion mining technique on 13,457 product reviews about 10 kinds of products crawled from a shopping mall, we found that customers" feedbacks on shopping process differently depending on kinds of products. Based on research results, we recommended enterprises for improving their services.

목차 (Table of Contents)

• Abstract
• Ⅰ. Introduction
• Ⅱ. Literature Review
• Ⅲ. Research Method
• Ⅳ. Findings and Discussions
• Ⅴ. Conclusion
• References