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2 Unsupervised Classification, these keywords extraction algorithms that applies to a single document without using a corpus are presented, such as term frequency, based on SWN, the term graph, the term network.
本文主要研究基于词语网络的关键字提取算法,在分析已有基于词语网络的关键字提取算法的基础上,针对存在问题,提出一个新的基于词语网络的英文文档关键字提取策略,采用节点删除指标度量顶点(词语)的重要性。
参考来源 - 基于词语网络的关键字提取策略研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper analyzes several existing Chinese word segmentation methods, brings out a keywords extraction algorithm which according to the weight formula.
分析现有几种中文分词方法，提出一种关键词抽取算法。
The research can be summarized as follows:Firstly, for query-focus multi-document summarization, this paper proposed the strategy of summary sentence selection using keywords extraction.
本文的主要工作包括以下几个方面：第一，本文提出了一种以关键词语抽取为核心的文摘句选择策略。
The extraction of keywords would have been a manual process, their selection entirely at the mercy of the person performing it.
关键字的提取将是一个手动进程，关键字的选择完全取决于执行选择的人。
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