基于关键节点的网络热点信息抽取  

Hot Network Information Extraction Based on Key Nodes

作　　者：李盼 李宜广 徐春[1] LI Pan;LI Yi-guang;XU Chun(College of Computer Science and Engineering,Xinjiang University of Finance&Economics,Urumqi 830001,China;Information Center,Xinjiang Science and Technology Association,Urumqi 830001,China)

机构地区：[1]新疆财经大学计算机科学与工程学院,新疆乌鲁木齐830001 [2]新疆科协信息中心,新疆乌鲁木齐830001

出　　处：《计算机与现代化》2019年第9期60-64,71,共6页Computer and Modernization

基　　金：新疆自治区高校科研计划面上项目(XJEDU2017M027)

摘　　要：首先通过实验论证社交网络关键节点对热点信息的产生、传播、引导具有重要作用。在此基础上,关键节点的热点信息按如下方式进行处理:1)对单条信息进行分词处理,得到其切分词集合,滤出其中无意义的切分词;2)将得到的切分词进行重新拼接,滤除其中无意义拼接序列,得到单条热点信息的摘要;3)合并同一含义的热点信息摘要,得到热点信息摘要集合,即为网络热点信息。通过上述一系列的操作,较大幅度地提升了热点信息抽取的准确性和全面性,在社交网络上得到了良好的验证结果。Firstly, the paper demonstrates that the key nodes of social networks play an important role in the generation, dissemination and guidance of hotspot information. On this basis, the hotspot information of key nodes will be processed as follows: Firstly, the word segmentation processing is performed on a single piece of information, and the set of word segmentation is obtained, and the meaningless word segmentation words are filtered out;Secondly, the obtained segmentation words are spliced renewedly, and the meaningless splicing sequences are filtered out, we will obtain a summary of the single hotspot information;Thirdly, merging the hotspot information summary of the same meaning, and obtaining the hotspot information summary set, which is the network hotspot information.In this way, the accuracy and comprehensiveness of hot spot information extraction are greatly improved, and good verification results are obtained on social networks.

关 键 词：社交网络关键节点 网络爬虫 信息摘要 热点信息提取 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]