A Novel Product Ranking Approach Considering Sentiment Intensity Distribution of Online Reviews

被引：0
|
作者：
Gu, Sheng-qiang [1 ]
Liu, Shi-tong [2 ]
Liu, Yong [2 ]
Ding, Jia-ming [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Sch Econ & Management, Nanjing 211106, Peoples R China
[2] Jiangnan Univ, Sch Business, Lihu Lake Rd 1800, Wuxi 214122, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2024年 / 17卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Product ranking; Online review; Sentiment analysis; Sentiment intensity distribution; Grey incidence analysis; CUSTOMER REVIEWS;
D O I：
10.1007/s44196-024-00688-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Online reviews of products have a significant impact on consumers' purchasing decisions, making it important for both platform retailers and consumers to rank products, and eventually purchase products. With respect to the problem of product ranking that consists of the information contained in online reviews; by considering the sentiment intensity distribution of online reviews, we establish a fine-grained sentiment intensity analysis and then exploit grey incidence analysis and TOPSIS to establish a multi-attribute approach for product ranking. Finally, a case study of laptop purchases verifies the applicability and effectiveness of the proposed approach.
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收藏
页数：18
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