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科技导报
|论文
2004
, 22
(0407) :
48
-51
新闻专题的高效组织和生成新方法
全屏
谭浩1,2 , 贾自艳3 , 史忠植4
作者信息
1. 中国科学技术人学研究生院,硕士研究生,北京100039;2. 新华社国内部,编辑,北京100803;3. 中国科学院计算技术研究所,博士生,北京100080;4. 中国科学院计算技术研究所,博士生导师、研究员,北京100080
HOW TO ORGANIZE AND GENERATE NEWS TOPICS WITH GREAT EFFICIENCY
TAN Hao1,2 , JIA Zi-yan3 , SHI Zhong-zhi4
Affiliations
1. University of Science and Technology of China, Beijing 100039, China;2. Institute of Computing Technology ,Chinese Academy of Sciences, Beijing 100080, China;3. Institute of Computing Technology ,Chinese Academy of Sciences, Beijing 100080, China
出版时间: 2004-07-10
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为了解决对新闻文档人工分类繁琐的问题,本文采用文本挖掘方法对新闻专题进行组织和生成,对新闻事件进行探测与跟踪,然后进行相关新闻专题的归纳。本文还特别对生成的新闻事件如何进行组织和管理,以及得到专题事件的来龙去脉,做了较为详尽的描述,同时对新闻事件的检索方法做出了一些探索性的工作。
In this thesis, the author uses the text-mining method of organizing all news formats datums to organize and generate special news topics. To solve the difficulties of manually categorizing news documents, the topic generation is related to the news event probing and tracking. Deeper researches on how to organize and manage generated news events, the detailed procedure of obtaining special events as well as the retrieval of news events have been done in this thesis.With this method , we can improve system efficiency and accuracy of organizing news topics.
news topics
/
data mining
谭浩;贾自艳;史忠植.
新闻专题的高效组织和生成新方法.
科技导报,
2004
, 22
(0407)
: 48
-51
.
TAN Hao;JIA Zi-yan;SHI Zhong-zhi.
HOW TO ORGANIZE AND GENERATE NEWS TOPICS WITH GREAT EFFICIENCY[J].
Science & Technology Review ,
2004
, 22
(0407)
: 48
-51
.
2004年第22卷第0407期
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接收时间:1900-01-01
首发时间:2004-07-10
出版时间:2004-07-10
收稿日期:1900-01-01
修回日期:1900-01-01
https://castjournals.cast.org.cn/joweb/kjdb/CN/1242118750808375550
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