求大神帮我翻译下问题补充里面这段话,一定要是专业英语翻译的,不是google,有道,这种的,很急,谢谢

文本聚类是文本挖掘领域的一个重要研究分支,是聚类方法在文本处理领域的应用。本次的设计是基于聚类算法对互联网文本信息分类的研究。文章首先对数据挖掘技术的意义和影响相继进行了... 文本聚类是文本挖掘领域的一个重要研究分支,是聚类方法在文本处理领域的应用。本次的设计是基于聚类算法对互联网文本信息分类的研究。文章首先对数据挖掘技术的意义和影响相继进行了介绍,并且对国内外的研究的成果进行了分析。其次对互联网文本信息进行了介绍,并且回顾了现有的文本聚类算法,以及互联网文本信息的获取方式。在研究的基础上,利用已经采集完毕的文本语料库,针对向量空间表示模型,在开源的数据挖掘平台WEKA上实现了文本预处理和k-means聚类算法,并根据实际聚类效果,对文本信息的分类进行了分析。 展开
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andychewbj
2013-05-20 · TA获得超过5.9万个赞
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标准翻译:
Text Clustering is an important branch of research in the field of Text Mining; it is the
application of clustering methods in the field of Text Processing. The study on
the internet text information classification with text clustering algorithm is the basis for this
design. Firstly, this paper presents the significance and impact of data mining technology
and analyzes the relevant research findings at home and abroad. Then it introduces the
internet text information and reviews all the existing text clustering algorithms, as well as
the ways of acquiring internet text information. By applying the already collected text corpus
and with the vector space representation model, text preprocessing and the k-means
clustering algorithm are achieved on the open-source data mining platform WEKA;
and the classification of text information is analyzed according to the actual
clustering effects.
喵大人aB
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应该是这样:
Text clustering is an important research branch of text mining area, is a clustering method is applied in the field of text processing. This design is based on text clustering algorithm on Internet information classification research. This paper the significance and influence of data mining technology have been introduced, and the research results at home and abroad are analyzed. Secondly introduces the text information on the Internet, and reviewed the existing text clustering algorithm, and the Internet access of text information. On the basis of the study, the use is collected text corpus, in view of the vector space representation model, in the open source implementation on the platform WEKA data mining of text preprocessing and k - means clustering algorithm, and according to the actual effect of clustering, classification of text information were analyzed.
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只爱小台
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毕业论文吧。。。
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