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- Feature selection problems are related to the problems of input dimensionality reduction. Feature selection is an important preprocessing step in automatic text classification. 特征选取(Feature Selection)就是降低输入维度,是文本自动分类的一个重要的预处理环节。
- A Sequence-Based Automatic Text Classification Algorithm 基于序列的文本自动分类算法
- The investigation and implement of automatic text classification 文本自动分类系统的研究与实现
- The Intelligent Treatment Technology in Automatic Text Classification 自动文本分类中的智能处理技术
- automatic text classification 文本分类
- A comparison of event models for Naive Bayes text classification. 如果在监督环境下,即文本的类别已知。
- Text orientation recognition has broad application in some field such as information filtering,automatic abstracting and text classification. 摘要 文本倾向性识别在信息过滤、自动文摘、文本分类等领域有广泛的应用前景。
- This paper presents a rough set theory based on the text classification. 文章提出了一种基于粗糙集理论的文本分类方法。
- This paper presents a method of automatic text categorization for Chinese Web pages, which mainly includes such models as Chinese Web pages acquirement, Chinese word splitter, feature selection and native Bayes machine learning and classification. 摘要提出了一种中文网页自动分类的方法,主要包括中文网页的自动抓取、中文分词、特征选取、贝叶斯机器学习与分类等功能模块。
- Automatic text categorization is an effective method to increase efficiency and quality of information utilization. 自动文本分类是提高信息利用效率和质量的有效方法。
- Feature selection is one of key factors that influences the development of text classification. 摘要特征选择是影响文本分类技术发展的关键因素之一。
- Make a study of applications of ontology to two domains such as text classification and information retrieval. 对Ontology 的应用在文本分类和信息检索两个领域进行研究。
- Jianlin Feng, Huijun Liu, Yucai Feng: Sentential Association Based Text Classification Systems. 何玉,冯剑琳,王元珍。基于最大关联规则的文本分类。
- In Web publications, you can't use the automatic text wrapping tools in Publisher to wrap text around pictures. 在Web出版物中,不能使用Publisher中的自动文字环绕工具使文字环绕图片。
- Text classification feature selection in text categorization is the first important problem to be solved. 摘要文本分类特征选择是文本自动分类中首先要解决的重要问题。
- The system can preferably implement automatic text categorization for Chinese pages, and has a higher quality. 该系统可以很好地实现一个中文网页的自动分类,且系统中的分类器具有较高的分类质量。
- Feature selection is a valid method to reduce the dimension of text vector in automatic text categorization system. 在自动文本分类系统中,特征选择是有效降低文本向量维数的一种方法。
- Experiment results show that, for both text classification and non-text classification, DRC-BK has excellent classification performance. 实验表明,本文提出的DRC-BK 在文本分类领域和非文本分类领域都具有优秀的分类性能。
- Text classification methods based on Key words are not known for their classification precision,this is due to the existence of synonyms and polysemes. 由于同义词和多义词的存在,使得基于特征词的文本分类方法分类精度不高。
- This text classification system got the highest score among runs from 19 groups in the evaluation of TREC 2005 Genomics Track Categorization Task. 该系统在2005年文本检索会议(TREC;Text REtrieval Conference)的基因领域文本分类任务(Genomics Track Categorization Task)的评测中取得第一名.