首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于朴素贝叶斯的渔业文本分类器研究
引用本文:邵乐,于红,刘溪婧,綦孝姬,梁晓娜.基于朴素贝叶斯的渔业文本分类器研究[J].大连水产学院学报,2010,25(1):45-48.
作者姓名:邵乐  于红  刘溪婧  綦孝姬  梁晓娜
作者单位:大连水产学院信息工程学院,辽宁,大连,116023
基金项目:辽宁省教育厅基金资助项目(05L090);;大连市青年基金资助项目(2005J22JH038);;大连水产学院博士启动基金资助项目(sybs200712)
摘    要:通过阐述朴素贝叶斯文本分类器的算法原理及其用于建立渔业文本分类器的优点,给出了基于朴素贝叶斯的渔业文本分类器的基本结构,并用实验验证了该结构的性能。结果表明,基于渔业词库的朴素贝叶斯渔业文本分类器具有比普通文本分类器更好的性能。

关 键 词:渔业  文本分类器  朴素贝叶斯

Fishery text classification based on number of Naive Bayes
SHAO Le,YU Hong,Liu Xi-jing,QI Xiao-ji,LIANG Xiao-na.Fishery text classification based on number of Naive Bayes[J].Journal of Dalian Fisheries University,2010,25(1):45-48.
Authors:SHAO Le  YU Hong  Liu Xi-jing  QI Xiao-ji  LIANG Xiao-na
Institution:School of Information Engineering;Dalian Fisheries Univ.;Dalian 116023;China
Abstract:The simple and effective Naive Bayes performs well in some fields such as spare and intrusion detection. The algorithm principle of Narve Bayes classifier, and elaborates advantages of using Narve Bayes in the establish-ment of fisheries text classifier were discussed and the basic structure of fisheries text classifier was showed bases on Naive Bayes. The experiments to verify the performances classifier based on fisheries lexicon had better performance of this structure showed the Naive Bayes fisheries text than the usual classifiers.
Keywords:fishery  text classification  Naive Bayes
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号