摘要
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.
出处
《科技导报》
CAS
CSCD
2004年第7期48-51,共4页
Science & Technology Review
