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一种网络话题的内容焦点迁移识别方法
  • ISSN号：0254-4164
  • 期刊名称：计算机学报
  • 时间：2015
  • 页码：261-271
  • 分类：TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]西安交通大学智能网络与网络安全教育部重点实验室,西安710049, [2]清华大学自动化系智能与网络化系统研究中心,北京100084
  • 相关基金：国家自然科学基金（61202392,61221063,61375040,60905018,61103240,61172124）; 国家“八六三”高技术研究发展计划项目基金（2012AA011003）; 高等学校博士点基金（20120201120023）; 教育部创新研究团队（IRT13035）; 中央高校基本科研业务费专项资金资助
  • 相关项目：在线社会网络中特定类型用户识别及其行为规律的分析与建模研究
作者： 周亚东, 刘晓明, 杜友田, 管晓宏, 刘霁|
关键词： 网络话题, 焦点识别, 舆情分析, 话题模型, 社交网络, 社会计算, online social topics, focus identification, public opinion analysis, topic model, social networks, social computing
中文摘要：

随着网络信息技术的迅速发展,互联网已经成为人们获取和发布信息的最重要平台之一.在互联网的信息传播过程中,话题相关文本不断更新,而其内容焦点也随着话题发展发生着迁移.识别话题内容焦点有助于有效地挖掘与分析网络信息,是网络舆情分析领域的重要研究问题.文中针对网络流文本,提出了一种网络话题内容焦点的识别方法,首先对话题焦点特征在流文本中的分布情况进行分析,基于分析结果介绍了焦点识别方法3个主要步骤的算法模型,分别是基于时间属性的焦点特征词提取、内容焦点特征词的合并和内容焦点的表示.文本基于来自于真实网络的实际数据,对所提方法进行了实验验证,实验结果表明文中所提方法可有效获取话题发展过程中的内容焦点,并能以关键词集和语句集的形式对内容焦点进行表示.

英文摘要：

With the rapid development of information technology, Internet has become one of the most important platforms for people to get information. In our daily life, people tend to encounter this phenomenon： the news of certain topic is constantly updated, but the reports focus on different contents, these different focus include： the focus generated by the development of events l new focus caused by the increased user reviews of topies; focus migration due to the impact of other hot news topic in the same period. In this paper, we propose a method for analyzing and identifying the evolutionary focus of topics. The method is consist of three parts, including feature selection based on time attribute, feature combine model and focus presentation. The experimental results show that this method could identify the evolutionary focus of topics effectively.

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期刊信息
  • 《计算机学报》
  • 北大核心期刊（2011版）
  • 主管单位:中国科学院
  • 主办单位:中国计算机学会 中国科学院计算技术研究所
  • 主编：孙凝晖
  • 地址：北京中关村科学院南路6号
  • 邮编：100190
  • 邮箱：cjc@ict.ac.cn
  • 电话：010-62620695
  • 国际标准刊号：ISSN：0254-4164
  • 国内统一刊号：ISSN：11-1826/TP
  • 邮发代号:2-833
  • 获奖情况:
  • 中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 美国数学评论（网络版）,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:48433