Measuring Similarity of Chinese Commodity Comments in E-Commerce Websites

被引：0

作者：

Xu, Xiaodong ^{[1
]}

Guo, Yi ^{[1
,2
]}

Sun, Wei ^{[1
]}

Fan, Zhen ^{[1
]}

机构：

[1] East China Univ Sci & Technol, Shanghai, Peoples R China

[2] Shihezi Univ, Sch Informat Sci & Technol, Shihezi, Peoples R China

来源：

2017 9TH INTERNATIONAL CONFERENCE ON ADVANCED INFOCOMM TECHNOLOGY (ICAIT 2017) | 2017年

基金：

中国国家自然科学基金;

关键词：

e-commerce websites; comment texts; similarity measurements;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Similarity measurements of comment texts are playing important roles in reducing redundant data of comment texts in e-commerce websites. A novel modeling method is presented in this paper to measure the similarity of comment texts. A simple dictionary is constructed based on high frequency adjective of comment texts. The dictionary is utilized to calculate the common words similarity between comment texts. Finally, similarities of comment texts are gotten by combining common word similarity, HowNet based similarity and length similarity based according to their weights. The experiments show that the proposed method performs better than other methods with the accuracy of 83.33%.

引用

页码：411 / 415

页数：5

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