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.
该方法通过分析文档的特征词汇，使用基于领域本体的空间向量模型方法建立词汇与本体概念之间的映射。
The documents characteristic vocabulary is analyzed and the mapping between vocabulary and the ontology concept is built based on the domain ontology VSM m.
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.
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.
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.
在诊断模型中，应用APEX网络提取分类信息，压缩向量空间维数，利用前馈网络建立其类型识别函数。
In the model, using APEX network extracts classification information and condenses vector space dimensions, making use of feedforward network establishes the classification recognition function.
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.
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.
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.
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.
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.
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.
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.
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.
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.
介绍了一个建立在向量空间模型上的电池分类系统，提出了一个基于模糊决策的快速完成识别电池容量和曲线一致性的计算方法。
A cell classify system based on vector space model was introduced and a fast fuzzy based algorithm for recognizing capacity and curve of battery 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.
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.
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.
通过对传统的书目查询系统弊端的分析，设计了一种基于向量空间模型的图书馆书目查询系统，并介绍了该系统的详细设计与实现过程。
With an analysis of the deficiencies of the traditional bibliographic query system, this paper puts forward a library bibliographic query system based on vector space model.
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.
本文通过认真分析，认为在基于向量空间模型的分类方法中可以适当地借鉴基于语义的分类方法中的权重设置方法。
Therefore, by some analysis, the combination of classification based on vector space model and which based on semantic is one of the best solutions to this problem.
综合用户显式反馈和用户隐式反馈的优点，本文还提出了一种用户建模的算法，即基于向量空间模型的混合建模方法。
Integrating the merits of user obvious feedback and user hiding feedback, a new user establishing model algorithm, namely a mix establishing model method based on vector space model is also proposed.
基于内容的过滤算法大多数是基于向量空间模型的算法，其中广泛使用的是朴素贝叶斯算法和K最近邻（KNN）算法。
Most of the content-based filtering algorithms are based on vector space model, of which Naive Bayes algorithm and K-Nearest Neighbor (KNN) algorithm are widely used.
基于内容的过滤算法大多数是基于向量空间模型的算法，其中广泛使用的是朴素贝叶斯算法和K最近邻（KNN）算法。
Most of the content-based filtering algorithms are based on vector space model, of which Naive Bayes algorithm and K-Nearest Neighbor (KNN) algorithm are widely used.
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