Intelligence text categorization based on Bayes algorithm

Fei Yu, Ji-yao An, Hong Li, Miaoliang Zhu, Ouyang Yang
{"title":"Intelligence text categorization based on Bayes algorithm","authors":"Fei Yu, Ji-yao An, Hong Li, Miaoliang Zhu, Ouyang Yang","doi":"10.1109/ICIA.2004.1373386","DOIUrl":null,"url":null,"abstract":"Text categorization is the basic technology of information process, query and retrieval. This paper introduces some improvements of the Bayes categorization algorithm based on an advanced research on current algorithm. In addition, it considers the probable risk of mistaking the related text for unrelated one during the text categorization and puts forward a proposal of a text categorization model of minimal-risk Bayes decision. The results of our experiments prove that it promotes the precision of text categorization.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Acquisition, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2004.1373386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Text categorization is the basic technology of information process, query and retrieval. This paper introduces some improvements of the Bayes categorization algorithm based on an advanced research on current algorithm. In addition, it considers the probable risk of mistaking the related text for unrelated one during the text categorization and puts forward a proposal of a text categorization model of minimal-risk Bayes decision. The results of our experiments prove that it promotes the precision of text categorization.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于贝叶斯算法的智能文本分类
文本分类是信息处理、查询和检索的基本技术。本文在对贝叶斯分类算法进行深入研究的基础上,介绍了对贝叶斯分类算法的改进。此外,考虑了文本分类过程中将相关文本误认为不相关文本的可能风险,提出了最小风险贝叶斯决策的文本分类模型。实验结果表明,该方法提高了文本分类的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on non-linearity rectification of sensor systems Independent component analysis and its application in the fingerprint image preprocessing Precision irrigation system based on detection of crop water stress with acoustic emission technique Measurement of resonant microbeam pressure sensors A new structure for measuring the thermal conductivity of thin film
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1