一种网络话题的内容焦点迁移识别方法

发布时间：2018-04-13 02:37

本文选题：网络话题 + 焦点识别　；参考：《计算机学报》2015年02期

【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.
[Abstract]:With the rapid development of network information technology, the Internet has become one of the most important platforms for people to obtain and publish information.In the process of information dissemination on the Internet, the topic-related texts are constantly updated, and the focus of their content shifts with the development of the topic.Identifying the focus of topic content is helpful to effectively mining and analyzing network information and is an important research problem in the field of network public opinion analysis.In this paper, a method of identifying the focus of network topic content is proposed. Firstly, the distribution of the feature of topic focus in stream text is analyzed.Based on the analysis results, the algorithm models of three main steps of focus recognition method are introduced, which are the extraction of focus words based on time attribute, the merging of content focus words and the representation of content focus.Based on the actual data from the real network, the proposed method is verified experimentally. The experimental results show that the proposed method can effectively capture the focus of the topic development process.And it can express the focus of content in the form of keyword set and statement set.
【作者单位】：西安交通大学智能网络与网络安全教育部重点实验室;清华大学自动化系智能与网络化系统研究中心;
【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~~
【分类号】：TP393.09;TP391.1

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