Abstract
With the rapid growth of the mobile commerce, firms have been trying to get their online channels optimized for the mobile devices. However, many contents on online shopping sites are still focused on a desktop PC environment. Especially, consumer reviews are difficult to browse and grasp via a mobile device. Usually, it is not helpful to simply reduce the size of fonts or photos to fit to mobile devices without a fundamental transformation of the review presentation. In this study, we suggest a feature-based summarization process of consumer reviews in mobile environment. Further, we illustrate an implementation of the process by applying opinion mining techniques to product reviews crawled from a major shopping site in Korean. Finally, a plan for a controlled laboratory experiment is proposed to validate the effectiveness of the suggested review framework in this study.
| Original language | English |
|---|---|
| Pages (from-to) | 47-53 |
| Number of pages | 7 |
| Journal | Proceedings of the International Conference on Electronic Business (ICEB) |
| Volume | 2015-January |
| State | Published - 2015 |
| Event | 15th International Conference on Electronic Business, ICEB 2015 - Sha Tin, Hong Kong Duration: 6 Dec 2015 → 10 Dec 2015 |
Keywords
- E-commerce
- Mobile
- Opinion mining
- Product features
- Review
- Summarization
- Usability