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一种基于特征词句子环境的文本分类器
Text Categorizer Based on Context of Feature Words in Sentence
【摘要】 提出一种基于特征词句子环境的文本分类方法,介绍了创建分类规则的文本句子信息模型,比较详细地给出训练算法和语句聚集算法。该算法依据训练文本集的特征词句子环境,获取识别文本主题类别的特征词集合。最后给出了分类器性能的测试结果。
【Abstract】 A method of creating text categorizer based on context of feature words in sentences of feature words is proposed.A sentence information model of text for creating rules is introduced,and the training algorithm and the sentence clustering algorithm are described in more detail.Both of the algorithms based on the context of feature words in sentence of training texts can get a set of feature words that identify the category of a text.Finally,testing results of this text categorizer’s sorting perfor-mance are presented.
【关键词】 文本分类;
特征词句子环境;
训练算法;
语句聚集算法;
【Key words】 Text Categorization; Context of Feature Words in Sentences; Training Algorithm; Sentence Clustering Algorithm;
【Key words】 Text Categorization; Context of Feature Words in Sentences; Training Algorithm; Sentence Clustering Algorithm;
【基金】 北京市自然科学基金资助项目(4052006)
- 【文献出处】 计算机应用研究 ,Application Research of Computers , 编辑部邮箱 ,2007年02期
- 【分类号】TP391.1
- 【被引频次】5
- 【下载频次】136