Research on the evolution law of the semantic web structure of online shopping reviews

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2017-03-01 DOI:10.1109/IAEAC.2017.8054044

Wang Lin, Luo Dongying, Shi Haizhang, Ding Shengbao

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引用次数: 1

Abstract

In order to explore the semantic clues and online shopping consumer behavior rules contain online shopping commentary, this paper takes 55560 after-sales evaluation as the research object to put forward the netizens related hypothesis evaluation of social network evolution, and evaluation of innovation of Internet users social network evolution diagram visualization description and empirical analyses. The study found that, the commodity “quality”, “practical”, “the seller” “attitude” attribute has a high center, and consumers rely on degree bigger to merchandise the four attributes; the highest correlation between utility and quality of goods in the commodity attribute of CO word matrix; the whole network density of consumer evaluation is relatively large, suggesting that it on the online shopping attitude and behavior will have a great impact. Therefore, this study finally reveals the social network online shopping reviews the evolution process and the consumer behavior evolution characteristics.

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网上购物评论语义网结构演化规律研究

为了探索网购评论中包含的语义线索和消费者行为规律，本文以55560售后评价为研究对象，提出了网民相关的社会网络演化假设评价，并对网民社会网络演化图的评价创新进行了可视化描述和实证分析。研究发现，商品的“质量”、“实用”、“卖主”、“态度”属性具有较高的中心，且消费者对商品四大属性的依赖程度较大;在CO字矩阵的商品属性中，效用与商品质量的相关性最高;消费者评价的全网密度比较大，说明它对网上购物的态度和行为会有很大的影响。因此，本研究最终揭示了社交网络网上购物评论的演化过程和消费者行为的演化特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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