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.
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.
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.
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.
对基于语义的向量空间模型的生成步骤做了详细的论述，对基于语义的和基于词形的两种分类系统的性能做了比较实验。
This paper gives the details of the building of the Vector Space Model based on the semantics. The experiments are carried on the system based on the semantics and the system based on the lemma.
然后，介绍了传统的基于关键字的向量空间模型的文本分类的几个重要阶段，并着重介绍了其中的文本表示的相关技术和两种经典分类算法。
Then, this paper eliminates ambiguity of word meanings in text by WordNet. A representation of text based on concept is proposed later, and has been also applied to classification in SVM and KNN.
本文提出了两个新的图上关键字搜索算法，使用了现代信息检索技术中的向量空间模型和随机游走模型来解决以上缺陷，使得查询结果更具语义信息。
In this paper, two novel algorithms are introduced, which employ the vector space model and random walk model to address the drawbacks above and make the results more semantical.
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.
分析了传统向量空间检索模型在网络信息检索中的不足，给出了基于文档结构的向量空间检索模型。
Based on the analysis of the deficiency of the traditional vector space retrieval model, the file structure based vector space retrieval model is presented.
该文介绍了一种文本过滤算法，该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。
This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.
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.
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.
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.
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.
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.
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.
此外，本文还研究了基于向量空间模型的自动文本分类方法，提出了一个新的词权重计算方法，该方法有效提高了分类精度。
In addition, a text classification system based on Vector Space Model is studied and a new method for calculating word weight is proposed.
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.
用骨架语片做特征项，用空间向量模型表示文本语义，用语片的出现频度做语片权重，用余弦法计算文本间语义相似度。
Computing the semantic similarity of sentences by the method of cosine, eigenvalue come from the skeleton semantic clip, and the semantics of sentence expressed the vector space model.
该建模方法通过减聚类方法将输入空间划分为一些小的局部空间，在每个局部空间中用最小二乘支持向量机(LS -SVM)建立子模型。
In this method, subtractive clustering was adopted to divide the input space into several sub-spaces, and sub-models were built by Least Square SVM (ls SVM) in every sub-space.
从空间几何角度出发，利用空间向量的关系研究坐标转换，提出一种新的三维基准转换模型。
Through studying the relationship between space vectors of different coordinate systems, a new model of three-dimensional datum transformation is proposed.
在文本分类器的设计中，用传统信息检索的空间向量模型改进了朴素贝叶斯分类器，提高了它的分类精度。
In designing web Classifier, this thesis makes use of Vector Space Model to represent the web text, which improves the performance of Bayes Classifier.
使用向量空间模型来表示事件描述片段的特征，并分类计算特征词的重要度，最后对文本中的事件片段进行定位和分类。
This paper uses the Vector Space Model to express the features of event description segment and calculate the importance of feature words in different classes.
本文在向量空间模型和概率推理网络的基础上提出了一个基于关键词与概念相结合的混合信息检索模型。
We bring forward a hybrid model that is based on a combination of keywords and concept. The hybrid model is built on vector space model and probabilistic reasoning network.
本文提出了一系列优化措施，设计了一个基于向量空间模型的主动推送系统原型，更好的满足网上信息检索效率的提高。
The paper provides some improving measures, and gives a model of active pushing system based on vector space model, which can better improve the efficiency of Web information retrieval.
本文提出了一系列优化措施，设计了一个基于向量空间模型的主动推送系统原型，更好的满足网上信息检索效率的提高。
The paper provides some improving measures, and gives a model of active pushing system based on vector space model, which can better improve the efficiency of Web information retrieval.
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