A Framework for Ranking Reviews Using Ranked Voting Method

被引:0
|
作者
Kumar, Rakesh [1 ]
Sharan, Aditi [1 ]
Yadav, Chandra Shekhar [1 ]
机构
[1] Jawaharlal Nehru Univ, SC&SS, New Delhi 110067, India
关键词
Aspect identification; Aspect classification; Review ranking; Ranked voting method;
D O I
10.1007/978-81-322-2523-2_25
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The reviews of the products are increasing rapidly on the web due to the rapid growth and uses of the Internet. The products review makes very big impact on consumer's interest in buying or not buying a product. However, there are various products, which have thousands of user-generated reviews. Mining this enormous online reviews and finding the important reviews for a user became a challenging task. It is very hard for consumers to find out the true quality of a particular product due to the presence of large number of reviews for a single product. To solve this problem, we are proposing a ranking mechanism which can be efficiently used to rank different reviews in accordance to their aspects rating. Here, the ranking mechanism uses the numerous ratings of the aspect and calculates the aggregate score of the review. This paper demonstrates the ranking of various reviews by means of their aspects rating through ranked voting method. Both the practicability and the benefits of the suggested approach are illustrated through an example.
引用
收藏
页码:263 / 272
页数:10
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