In this paper, the Word Segmentation technology of Chinese Text Classification is debated emphatically.
本文对中文文本分类的分词技术进行了着重讨论。
Therefore word segmentation is a key sub-problem of Chinese information processing, such as machine translation, information retrieval and text classification.
因此，分词在机器翻译、信息检索、文本分类等中文信息处理的各项任务中都发挥着基础性的重要作用。
This study can be used in network information retrieve, information filter, Chinese text automatic classification, Chinese web page automatic classification and other application fields.
该研究可应用于网络信息检索、信息过滤、中文文本自动分类、中文网页自动分类等应用领域。
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。
Algorithm should build text expressing matrix and classification expressing matrix according to Chinese character features in text, and build classification matrix through using LLS Line...
算法根据文本中汉字的特征建立文本表示矩阵和类别表示矩阵，并通过线性最小二乘算法形成分类矩阵。
In this paper, we treat Chinese text chunking as a classification problem, and apply SVM to solve it.
本文将中文组块识别问题看成分类问题，并利用SVM加以解决。
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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