采用经典的向量空间模型对网页文本进行分类。
This paper USES the classical vector space model for text classification Web page.
与向量空间模型相比，该模型的检索速度明显提高。
Comparing with the traditional vector space model, this new model is faster for information retrieval.
在信息检索中，向量空间模型是最有效的数学工具之一。
In information retrieval, vector space model is one of significant mathematics tools.
最后，我们使用经典的向量空间模型来实现文档的分配。
At last, we also employ the classic Vector Space Model to classify the documents.
开发了一个基于概念向量空间模型的中文自动文摘系统。
We Construct a system of Chinese automatic summarization based on conceptual vector space model.
提出了一个基于概念向量空间模型的电子邮件分类方法。
A new approach of email classification based on the concept vector space model was proposed.
首先提取出文本训练集的特征词，建立特征向量空间模型。
Firstly character words of training documents are extracted, vector space model is constructed.
相关语句抽取部分的相似度计算使用了N元模型和向量空间模型。
In candidate sentences selection module, the methods we used to compute the similarity between sentences and query are N-gram modal and Vector Space modal.
文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
传统向量空间模型在计算复杂度、查询性能、智能性方面存在种种缺陷。
There are disadvantages of traditional vector space model in computational complexity, query efficiency and intelligence.
基于向量空间模型表示用户模型，采用重心向量分类算法建立用户模型。
The user model is expressed in form of vector space model. It's built using centroid-based classification method.
本文从理论上探讨了向量空间模型及其改进模型在专题文献过滤中的相关算法。
This article discussed the algorithms of literature filtering based on vector space model (VSM) and other improved models.
在传统过滤算法的基础上，本文提出一种基于向量空间模型的自适应过滤算法。
Based on tradition filtering algorithm, an adaptive filtering algorithm based on vector space model is proposed in the paper.
本文回顾了通用的信息检索技术，尤其是向量空间模型及其改进、倒排索引技术。
Popular Information Retrieval technologies are reviewed, especially VSM, its variants, and also inverted index.
目前我已经介绍了向量空间模型，工程试点，试验和制造的一些我的工程师人才。
It will take some time to implement all these procedure. Currently I have already introduced VSM, Engineering Pilot, and Manufacturing Pilot to some of my engineer staffs.
结合HTML标记权重信息建立向量空间模型，弥补了特征项在文本集合中分布的差异。
Vector space model is constructed with HTML tag weights, which offset the distribution differences of text terms.
通过向量空间模型计算网页与主题特征向量之间的相似度，并考虑了关键词的位置权重。
The VSM method is proposed to calculate the topic relevance, and the keywords are considered to set different weight values in different parts of page.
针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
实验结果表明：简单的SLM-CIR模型的性能要优于简单的向量空间模型和概率模型。
The experimental result shows that the performance of simple SLM-CIR model should be superior to simple vector space models and probability models.
本文就这些问题给予分析并给出了相应的改进方法，最后构建了一个改进后的向量空间模型。
This paper gives an analysis of these problems and provides some corresponding method for improvement. Finally, an improved vector space model is presented.
介绍了一种基于模糊模式识别以及向量空间模型提取特征向量的中文文本分类器的设计与实现。
This paper introduces the design and implementation of the Chinese text categorizer based on the fuzzy recognition and the extraction of the characteristic vector with the vector space model.
针对向量空间模型在文档相似度量方面的局限，提出了基于计算公共子串的文档相似度量算法。
In respect to the limitation of document similarity measuring based on VSM, this paper put forward an algorithm based on public substring of strings.
然后，本文介绍了几种常用的基于向量空间模型的文件分类算法，同时描述了具体的算法步骤。
The second part is the introduction to several common File Categorization methods and the algorithms are presented in detail.
为了实现面向特定领域网站的网络资源搜索，提出了一种描述网站主题特征的混合向量空间模型。
Internet resource search for specific subject websites was realized using a hybrid vector space model developed to describe website subject features.
本文对文本分类的关键技术及典型分类方法进行了研究，提出基于词向量空间模型的文本分类方法。
Research on the key techniques and typical methods of text categorization are being done, and the method of text categorization based on word vector space model is presented in the dissertation.
基于重启型随机游走的图上关键字搜索算法，在重启型随机游走模型的基础上加入了向量空间模型。
The first algorithm is based on random walk with restart model, which modifies the model to support vector space model.
该文探讨了基于向量空间模型的文本聚类方法，提出 了一种文本聚类的改进算法——LP 算法。
This paper discusses different Vector Space Model(VSM)-based clustering algorithms and presents an improved text clustering algorithm——Level-Panel(LP)algorithm.
本文介绍了文本自动分类的研究方法，文本的向量空间模型表示。并给出了文档的训练算法和分类算法。
It introduces the method of the text auto-categorization, briefly describes the vector space model expression, and finally gives training arithmetic and categorization arithmetic of the text.
本文介绍了文本自动分类的研究方法，文本的向量空间模型表示。并给出了文档的训练算法和分类算法。
It introduces the method of the text auto-categorization, briefly describes the vector space model expression, and finally gives training arithmetic and categorization arithmetic of the text.
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