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- 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。
- 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。
- Chinese Text Classification Based on DCM 基于DCM的中文文本分类
- Naive Bayes Chinese text classification based on core words of class 基于类别核心词的朴素贝叶斯中文文本分类
- Chinese text classification 中文文本分类
- Then a Chinese text mining system is designed. 在前面所有工作的基础上，本文又整体设计了一个中文文本挖掘系统。
- 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。
- I can't add phonetic guides to my Japanese or Chinese text. 不能将拼音指南添加到日文或中文文本中。
- 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。
- In case of any divergence of interpretation, the Chinese text shall prevail. 若对其解释产生异议，则以中文文本为准。
- Several typical text classification algorithms were analyzed, and the performance of different algorithms was evaluated synthetically according to Chinese and English text database. 摘要分析了几种典型的文本分类算法的特点，并基于中文文本数据集和英文文本数据集对算法性能进行了综合评价。
- Chinese text automatic proofreading is an important research subject in NLP. 摘要中文文本自动校对是自然语言处理领域具有挑战性的研究课题。
- In this paper,a novel associative classification algorithm,named ACIG,is proposed to integrate the effect of information gain and FoilGain for selecting the literals of rules from Chinese text,in order to improve the qualities of literals. 现有的基于支持度-置信度架构的关联分类方法仅仅是选择频繁文字构建分类规则,忽略了文字的分类有效性。 本文提出一种新的ACIG算法,结合信息增益与FoilGain在中文文本中选择规则的文字,以提高文字的分类有效性。
- 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。
- Click here to continue without using the Chinese Font, the Chinese text will be shown as image. 您没有安装中文字体的绝对必要。请击以下按钮去运用图像版中文。
- 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。
- All Chinese text provided serve reference purpose only. Any dispute will defer to English. 所有中文注释仅供参考,无法律效用。
