[1]郑飘飘,万健,司华友. 基于评论的热点新闻事件识别方法研究[J].浙江科技学院学报,2019,(05):392-399.
　ZHENG Piaopiao,WAN Jian,SI Huayou. Research on methodology of identifying hot news event based on comments[J].,2019,(05):392-399.
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 基于评论的热点新闻事件识别方法研究(/HTML)
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《浙江科技学院学报》[ISSN:2097-5236/CN:33-1431/Z]

卷:
期数:
2019年05期
页码:
392-399
栏目:
出版日期:
2019-10-31

文章信息/Info

Title:
 Research on methodology of identifying hot news event based on comments
文章编号:
1671-8798(2019)05-0392-08
作者:
 郑飘飘; 万健; 司华友
 浙江科技学院 信息与电子工程学院，杭州 310023；杭州电子科技大学 计算机学院，杭州 310018
Author(s):
 ZHENG Piaopiao;  WAN Jian;  SI Huayou
 School of Information and Electronic Engineering, Zhejiang University of Science and Technology,Hangzhou 310023, Zhejiang, China;School of Computer Science and Technology,Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China
关键词:
 ; 新闻; 评论; 事件识别; 信息抽取
分类号:
TP391.43
文献标志码:
A
摘要:
 随着互联网的普及，非结构化文本数据的规模不断扩大且越来越多地用于大众传播。因此，从海量数据抽取热点信息已成为一个重要的研究课题。针对新闻的热点挖掘进行方法改进及分析，结合新闻及事件模型，使用TextRank算法提取关键词，运用相似度计算方法，提出了一种基于评论的热点新闻事件识别方法。研究结果表明该方法具有一定的可行性。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2019-05-02基金项目: 国家自然科学基金项目（61572163）通信作者: 万健（1969—），男，福建省泉州人，教授，博士，主要从事云计算大数据研究。
更新日期/Last Update: