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- 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。
- 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。
- 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。
- 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。
- 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.
- Thispaper first studies the text classification algorithms, discusses how to extract featureterms, and implements a new feature extraction algorithm. 本文首先对文本分类算法进行了研究,探讨了文本特征抽取方法,其中综合考虑了频度、分散度和集中度三项指标,设计并实现了一种新的特征抽取算法,使得选出的特征项整体优化。
- To solve this problem, we propose a new text classification model: Latent Semantic Classification (LSC) model by extending LSI model. 针对上述问题,在扩展LSI模型的基础上,我们提出了一种新的文本分类模型:潜在语义分类模型(Latent Semantic Classification:LSC)。
- 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。
- The site can be navigated to locate species using text classification or a graphical tool, both linked to the evolutionary tree of life. 网站可以利用文字或是图形方式将读者引导至物种页面，并连结到相关的生命演化树。
- This paper mainly introduces the basic ideas and implementations of LSA, and discusses the application of LSA to Chinese text classification. 本文将主要介绍LSA方法的基本思想和实现方法并讨论LSA在中文文本分类中的应用。
- Moreover, the research of this thesis can be applied to other NLP tasks, such as information retrieval, text classification and so on. 另外还可进一步应用到信息检索、文本分类等自然语言处理领域中。
- 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。
- Most Chinese text classification methods are applied to the machine learning technologies,while ignoring the traditional methods based on decision rules. 随着基于机器学习的文本自动分类方法成为主流分类技术,基于机器学习的文本分类方法往往忽视了对规则分类方法的有效运用。
- This text bases on the previous methods of text classification,passing to analyze the Web structure,puts forward a method of using extended anchortext for classifying Web pages. 在以往一些分类方法的基础上,通过分析网页自身的结构,提出了一种利用扩展锚点文本来对网页进行自动分类的方法。
- Text classification methods based on key words are not known for their classification precision, this is due to the existence of synonyms and polysemes. 摘要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。
- Tan Songbo DRAP developed text classification systems, to improve the method in accordance with the law center, a training set and test set, the program integrity. 详细说明： 谭松波博士开发研制的DRAP文本分类系统，根据中心法则改进方法，有训练集和测试集，程序完整。-Dr.
