图书情报工作

图书情报工作 >

2013 , Vol. 57 >Issue 12: 136 - 142

DOI: https://doi.org/10.7536/j.issn.0252-3116.2013.12.026

综述述评

微博信息可信度分析研究综述

  • 蒋盛益 ,
  • 陈东沂 ,
  • 庞观松 ,
  • 吴美玲 ,
  • 王连喜
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  • 1. 广东外语外贸大学信息学院;
    2. 广东外语外贸大学国际工商管理学院;
    3. 广东外语外贸大学图书馆
蒋盛益,广东外语外贸大学信息学院教授,博士,硕士生导师;陈东沂,广东外语外贸大学信息学院硕士研究生,E-mail:dongyi_chen@163.com;庞观松,广东外语外贸大学国际工商管理学院硕士研究生;吴美玲,广东外语外贸大学国际工商管理学院硕士研究生;王连喜,广东外语外贸大学图书馆助理馆员,硕士。

收稿日期: 2013-05-06

  修回日期: 2013-06-04

  网络出版日期: 2013-06-20

基金资助

本文系国家自然科学基金项目"不平衡数据的学习算法及应用研究"(项目编号:61070061)、广东外语外贸大学研究生科研创新项目"微博信息可信度分析技术及其应用研究"(项目编号:13GWCXXM-33)及广州市越秀区科技计划项目"云企业资源搜索引擎iiERD"(项目编号:2012-TP-005)研究成果之一。

收起

Research Review of Information Credibility Analysis on Microblog

  • Jiang Shengyi ,
  • Chen Dongyi ,
  • Pang Guansong ,
  • Wu Meiling ,
  • Wang Lianxi
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  • 1. School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006;
    2. School of Management, Guangdong University of Foreign Studies, Guangzhou 510006;
    3. Library, Guangzhou University of Foreign Studies, Guangzhou 510420

Received date: 2013-05-06

  Revised date: 2013-06-04

  Online published: 2013-06-20

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摘要

简述微博信息可信度研究的背景和意义,并对微博信息可信度分析等相关概念进行界定;对微博信息可信度的研究成果进行梳理,指出这些研究的不足,并认为微博信息可信度分析的关键问题是微博信息特征的提取和可信度分析方法的设计;结合微博信息的特点及已有研究成果,指出微博信息可信度分析的核心技术包括自然语言处理、社会网络分析、机器学习与数据挖掘等;最后总结全文,对微博信息可信度分析的未来发展方向进行展望,为进一步研究提供参考。

关键词： 微博; 信息可信度; 自然语言处理; 社会网络分析

本文引用格式

蒋盛益 , 陈东沂 , 庞观松 , 吴美玲 , 王连喜 . 微博信息可信度分析研究综述[J]. 图书情报工作, 2013 , 57(12) : 136 -142 . DOI: 10.7536/j.issn.0252-3116.2013.12.026

Abstract

This paper introduces the background and significance of information credibility research on microblog, and gives relevant definitions on it. Then it summarizes the related achievements and concludes the existing drawbacks. It further proposes that the key problems to evaluate information credibility on microblog include the feature extraction in microblog and design of credibility analysis methods. Based on microblog’s feature and current research achievements, this paper concludes that the key technologies of information credibility analysis on microblog involve natural language processing, social network analyzing, machine learning and data mining. With a summarization, it finally looks to the future development, to make references for further research.

Key words： microblog; information credibility; natural language processing; social network analysis

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