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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(2):43-46,4.
标准科学Issue(2):43-46,4.DOI:10.3969/j.issn.1674-5698.2017.02.010

网络舆情大数据分析在我国汽车召回领域应用

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, one of the hot words since 2015, is playing an increasingly important role in our daily life. Big data analysis on users' comments and evaluations helps precision marketing success in commercial sector. While in automobile recalling events, analysis on big data including internet public opinions could provide important evidence for deciding 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/标签/影响力/召回

Key words

public opinion/tag/impact/recall

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,2017,(2):43-46,4.

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. (项目编号:282016Y-4502)

标准科学

1674-5698

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