원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.6 No.6
2013.12
pp.83-92
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
To increase the buyers know more about the credit of E-commerce product sellers and the purchase rate of the E-commerce users, E-commerce credit evaluation model based on the opinion mining algorithm was put forward. Extract the feature words and views from the products and user reviews, and then make use of statistical and quantitative way to analyze them. In the mean time, a credit evaluation model with transaction time-frequency can be set up, which can be used to analyze the seller’s credit of E-commerce users. Through the experiment, this model was verified to have certain practicability and validity in E-commerce credit evaluation.
목차
Abstract
1. Introduction
2. Opinion Mining
3. The E-commerce Credit Evaluation System Model based on Opinion Mining
3.1 review of data acquisition and the establishment of the characteristic library
3.2 The characteristics extraction of the comment data
3.3 Quantitative and process the extracted comment data.
3.4 Products and comment view statistics
3.5 Product reviews view statistics and analysis of electronic commerce credit evaluation
4. Experimental Analyses
5. Conclusions
Acknowledgements
References
1. Introduction
2. Opinion Mining
3. The E-commerce Credit Evaluation System Model based on Opinion Mining
3.1 review of data acquisition and the establishment of the characteristic library
3.2 The characteristics extraction of the comment data
3.3 Quantitative and process the extracted comment data.
3.4 Products and comment view statistics
3.5 Product reviews view statistics and analysis of electronic commerce credit evaluation
4. Experimental Analyses
5. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보