Now many algorithms of text classifier make good effects in different domains.
现在有很多文本分类的算法，在不同的领域里取得了较好的效果。
Constructing an effective text classifier plays a key role in text categorization.
构建一个分类准确的文本分类器是文本分类的关键。
After getting the feature set, USES cover algorithm as a text classifier to study.
在得到特征集后，使用覆盖算法作为文本分类器进行学习。
The dynamic text classifier can categorize the user input stream of Chinese text dynamically.
该动态文本分类器能对用户输入的文本流进行动态分类。
Text classifier is a vital part not only for studying algorithm, but also for the result ofclassification.
文本分类器对于学习算法和分类的结果都是至关重要的一步。
In the paper, a method to improve the generalization performance of the Chinese text classifier is put forward.
本文提出了一种提高中文文本分类器推广性能的方法。
The experiment results show that the iterative SVM classifier achieves better performance than the SVM text classifier.
实验结果表明，迭代s VM算法分类精度高于传统的SVM文本分类算法，具有较好的性能。
Based on this algorithm, an automatic English text classifier was designed, and the system test and result analysis were made.
以该算法为基础，设计了一个英文文本自动分类系统，并对该系统进行了测试和结果分析。
In this paper, we study the problem of building a text classifier from a keyword and unlabeled documents, so as to avoid labeling documents manually.
为了减少人工标记样本的代价，本文提出了通过关键词和未标记样本建立分类器的新方法。
Text classification is build up by the text preprocessing, feature thesaurus creation, the text classifier, and testing of text classification results.
文本分类由文本预处理，特征词库的建立、文本分类器、文本分类结果测试这几个部分组成。
Constructing an accurate and stable text classifier is a key to text categorization. Many researchers put forward various text classifier models and algorithms.
构建一个分类准确而且稳定的文本分类器是文本分类的关键，很多学者提出了不同的文本分类器模型和算法。
The other way to see the tree is to look higher in the Classifier output, where the text output shows the entire tree, with nodes and leaves.
看到这个树的另一种方式是在Classifier Output内往高处看，其中的文本输出显示了具有节点和叶子的整个树。
To have the collection use the auto-classifier, it needs to be associated with the new text analysis engine.
为了让集合使用自动分类器，需要将集合与新的文本分析引擎关联起来。
In designing web Classifier, this thesis makes use of Vector Space Model to represent the web text, which improves the performance of Bayes Classifier.
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。
The results show that it has better performance than the other three classifier on the standard text sample set, and it has some superiority on small set of samples.
结果表明该分类器在标准文本样本集合上的性能好于其他三种分类器，在小样本分类上具有一定优势。
The results show that it has better performance than the other three classifier on the standard text sample set, and it has some superiority...
结果表明该分类器在标准文本样本集合上的性能好于其他三种分类器，在小样本分类上具有一定优势。
And it classifies a new web text according to the corresponding classifier in LS space from root to leaves.
分类时，由上到下，根据相应的类模型存ls空间上分类。
Tweaks to handling of anchor text. [launch codename "PC"] This month we turned off a classifier related to anchor text (the visible text appearing in links).
锚文本的处理调整：【代号为“PC”】这个月，我们关闭相关的锚文本(可见文本链接中出现)一个分类。
Although text classification with Bayesian classifier is simpler, intuitionistic and stable in performance, they still face with some significant problems in some complex text classification tasks.
基于贝叶斯模型的文档分类具有简单、直观、性能稳定的优点，但面对复杂的文档分类问题，仍然存在许多急待解决的问题。
One of the most difficult points in Chinese text automatic analysis is to analyse and disambiguate classifier and phrase containing classifier.
量词和含量词短语的分析排歧是汉语文本自动分析中的难点之一。
Most of non-text CCs are filtered out by cascade classifier and the remaining CCs are further verified by SVM. The final outputs are binary images containing texts only.
由于文本连通分量和非文本连通分量在特征上存在差异，大多数非文本会被级联分类器丢弃，而SVM则能在此结果上做进一步的验证，因此最终输出只有文本的二值图像。
Use the method of x2 statistic to extract texts characteristics after processing the text and then use cross cover algorithm to design a classifier.
为解决基于卡方统计量离散化方法在处理未知数据特性时的参数难确定问题，提出了一种基于粗糙集方法的自动离散化方法。
Use the method of x2 statistic to extract texts characteristics after processing the text and then use cross cover algorithm to design a classifier.
为解决基于卡方统计量离散化方法在处理未知数据特性时的参数难确定问题，提出了一种基于粗糙集方法的自动离散化方法。
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