XJIPC OpenIR  > 多语种信息技术研究室
Text classification model of Uyghur based on improved Bayes
Zhou, Xi
2013
发表期刊Journal of Computational Information Systems
ISSN15539105
卷号9期号:11页码:4319-4327
摘要

Nai¨ve Bayesian is a simple and efficient pattern recognition algorithm, and has been widely used in text classification. But the assumption of Nai¨ve Bayesian is often not hold in the real application. To improve the performance of the Classifier, a weighted Bayesian method is proposed based on feature selection weight for taking into account different conditions have different effects to the decision conditions. Firstly, represent the effect value of every feature by the combination of the Chi Square value and IDF (Inverse Document Frequency). Then, the weight of every feature is computed by the effect value. Lastly, weighted Bayesian Classifier is built on the weight. By experiments, This method has a better classification performance than Nai¨ve Bayesian Classifier.

收录类别EI
文献类型期刊论文
条目标识符http://ir.xjipc.cas.cn/handle/365002/4117
专题多语种信息技术研究室
通讯作者Zhou, Xi
作者单位The Xinjiang Technical Institute of Physics and Chemistry, Urumqi 830011, China;Graduate University of Chinese Academy of Sciences, Beijing 100190, China
推荐引用方式
GB/T 7714
Zhou, Xi. Text classification model of Uyghur based on improved Bayes[J]. Journal of Computational Information Systems,2013,9(11):4319-4327.
APA Zhou, Xi.(2013).Text classification model of Uyghur based on improved Bayes.Journal of Computational Information Systems,9(11),4319-4327.
MLA Zhou, Xi."Text classification model of Uyghur based on improved Bayes".Journal of Computational Information Systems 9.11(2013):4319-4327.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Text classification (262KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhou, Xi]的文章
百度学术
百度学术中相似的文章
[Zhou, Xi]的文章
必应学术
必应学术中相似的文章
[Zhou, Xi]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Text classification model of Uyghur based on improved Bayes.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。