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网络舆情大数据分析在我国汽车召回领域应用

姜肇财 孙宁 宋黎

标准科学Issue(12):30-33,4.
标准科学Issue(12):30-33,4.DOI:10.3969/j.issn.1674-5698.2016.12.005

网络舆情大数据分析在我国汽车召回领域应用

The Application of Big Data Analysis on Internet Public Opinion in China’s Automobile Recalling

姜肇财 1孙宁 1宋黎1

作者信息

  • 1. 国家质检总局缺陷产品管理中心
  • 折叠

摘要

Abstract

Big data has been one of the hot words since 2015 and is playing an increasingly important role in our daily life. The big data analysis based on internet public opinion helps users’ comments and evaluations and precision marketing success in commercial sector. While in automobile recalling events, analysis on big data including internet public opinions could provide important evidence to decide if certain defect really exists. With the developing of analytic techniques, how to use the results are profoundly studied, rather than statistics interpreting. This paper expounds how to use Data Cluster Analysis and Data Dissemination Attributes Analysis to extract the common and general information in internet public opinions.

关键词

舆情/数据传播/标签/召回

Key words

internet public opinion/data dissemination/label/recalling

引用本文复制引用

姜肇财,孙宁,宋黎..网络舆情大数据分析在我国汽车召回领域应用[J].标准科学,2016,(12):30-33,4.

基金项目

本文受中国标准化研究院院长基金项目“基于缺陷汽车产品故障表现的互联网影响力评价研究”(项目编号282016Y-4502)资助。 ()

标准科学

1674-5698

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