In addition, a text classification system based on Vector Space Model is studied and a new method for calculating word weight is proposed.
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。
A text classification system based on improved classification model presented in this paper is used to realize automatic text classification.
提出一种基于改进的分类模型的文本分类系统来实现文本的自动分类。
Researches on automatic text classification in Kazakh and develops a system of automatic text classification for Kazakh.
研究哈萨克语自动文本分类，并实现哈萨克语文本自动分类系统。
This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.
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。
Secondly, the system can distinguish the domain of the web page and understand the document at the concept level by text classification, clustering and concept extraction based machine learning.
其次，采用机器学习技术，包括文本分类、聚类，文本概念抽取，从概念层次理解文本信息；
On this basis, we propose a hierarchical model of text classification, then this model is applied to the Chinese web page classification, and we design and implement a prototype system.
在此基础上，本文提出了一个层次式文本分类模型，然后将此模型应用到中文网页分类这一实际问题中，设计并实现了一个原型系统。
Next, in the words, sentences tend to study the basis of sentiment, sentiment classification for Chinese text specific system design and application.
其次，在词汇、句子情感倾向研究的基础之上，对中文文本情感倾向进行了具体的分析计算及设计应用。
Next, in the words, sentences tend to study the basis of sentiment, sentiment classification for Chinese text specific system design and application.
其次，在词汇、句子情感倾向研究的基础之上，对中文文本情感倾向进行了具体的分析计算及设计应用。
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