Mining aspects of customer’s review on the social network

Mining aspects of customer’s review on the social network

Abstract This study represents an efficient method for extracting product aspects from customer reviews and give solutions for inferring aspect ratings and aspect weights. Aspect ratings often reflect the user’s satisfaction on aspects of a product and aspect weights reflect the degree of importance...

Full description

Bibliographic Details
Main Authors: Tu Nguyen Thi Ngoc, Ha Nguyen Thi Thu, Viet Anh Nguyen
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:Journal of Big Data
Subjects:
Aspect extraction
Aspect rating
Aspect weight
Conditional probability
Core term
Naive Bayes
Online Access:http://link.springer.com/article/10.1186/s40537-019-0184-5

Internet

http://link.springer.com/article/10.1186/s40537-019-0184-5

Similar Items