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一种基于相对特征的文本分类算法 被引量：2

A lgorithm for text classification based on comparative feature
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摘要 针对文本分类问题,将朴素贝叶斯分类与自组织特征映射网络分类相结合,提出了基于相对特征的文本分类算法.该算法具有很快的速度和较高的准确率,从而为构建高效的搜索引擎提供支撑. Aimed at the problem of text classification,the paper makes Naive Bayes classifier combined with self-organizing map classifier,the algorithm is proposed based on comparative feature text classification.The algorithm has rapid speed and high accuracy so as to hold forth the support for constructing efficient search engine.
作者 孙铁利 赵隽 杨凤芹 吴迪
机构地区 东北师范大学计算机科学与信息技术学院 长春师范学院分院信息技术系
出处 《东北师大学报（自然科学版）》 CAS CSCD 北大核心 2010年第1期63-66,共4页 Journal of Northeast Normal University(Natural Science Edition)
基金 教育部科技发展项目(20090043110010) 吉林省科技发展计划项目(20090503) 吉林省教育厅科技规划项目(吉教科合安2009第587号)
关键词 文本分类 朴素贝叶斯 自组织映射网络 相对特征 text classification Naive Bayes self-organizing map comparative feature
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献7

  • 1宫秀军,史忠植.基于Bayes潜在语义模型的半监督Web挖掘[J].软件学报,2002,13(8):1508-1514. 被引量：28
  • 2JAMAIN A,HAND D J.The naive bayes mystery:a classification detective story[J].Pattern Recognition Letters,2005,26:1752-1760.
  • 3樊兴华,孙茂松.一种高性能的两类中文文本分类方法[J].计算机学报,2006,29(1):124-131. 被引量：70
  • 4LEOPOLD E,KINDERMANN J.Text categoriza-tion with support vector machines how to represent texts in input space[J].Machine Learning,2002,46(1/2/3):423-444.
  • 5SEBASTIANI F.Machine learning in auto-mated text categorization[J].ACM Computing Surveys (CSUR),2002,34(1):1-47.
  • 6JASON D M,LAWRENCE S,JAIME T.Tackling the poor assumptions of naive bayes text classifiers.In proceedings of the twentieth international conference on machine learning (ICML-2003)[C].Newyork:Washington D C,2003:616-623.
  • 7何晓群.多元统计分析[M].北京:中国人民大学出版社,2001.

二级参考文献13

  • 1Lewis D. D.. An evaluation of phrasal and clustered representalions on a text categorization task. In: Proceedings of SIGIR'92,the 15st ACM International Conference on Research and Development in Information Retrieval, Copenhagen, Denmark,1992, 37-50.
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  • 7Yang Y. , Liu X.. A Re-examination of text categorization methods. In: Proceedings of SIGIR'99, the 22nd ACM International Conference on Research and Development in Information Retrieval, Berkeley, CA, 1999, 42-49.
  • 8樊兴华.因果推理和文本分类.清华大学博士后出站报告,2004.
  • 9Larkey L. S.. Automatic essay grading using text categorization techniques.. In: Proceedings of SIGIR'98, the 21st ACM International Conference on Research and Development in Information Retrieval, Melbourne, Australia, 1998, 90-95.
  • 10Dumais S. T. , Platt J. , Hecherman D. , Sahami M.. Inductive learning algorithms and representation for text categorization.In: Proceedings of CIKM'98, the 7th ACM International Conference on Information and Knowledge Management, Bethesda, MD, 1998, 148-155.

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东北师大学报（自然科学版）
2010年 第1期

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