| 基于语义关联的文本分类研究 |
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| 引用本文： | 张浩,谢飞.基于语义关联的文本分类研究[J].合肥工业大学学报(自然科学版),2011(10):1501-1504. |
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| 作者姓名： | 张浩 谢飞 |
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| 作者单位： | 合肥工业大学计算机与信息学院;皖南医学院基础医学部;合肥师范学院计算机科学与技术系; |
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| 基金项目： | 安徽省高校自然科学研究基金资助项目(KJ2010B168); 安徽省高校优秀人才青年基金资助项目(2010SQRL148;2010SQRL149ZD) |
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| 摘 要： | 传统的文本表示是在向量空间模型的基础上,采用特征选择方法降低文本的维数,这种方法认为文本中词语是相互独立的,没有考虑彼此之间的语义信息.文章提出一种新的基于语义特征选择的文本分类方法,在已有特征选择的基础上,利用词语之间的语义关联性,将那些与已选择的词语具有密切联系的词语加入词语特征空间.实验表明,该方法与已有的特征选...
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| 关 键 词： | 文本分类 向量空间模型 特征选择 语义关联 |
Text categorization based on semantic relatedness |
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| ZHANG Hao,XIE Fei.Text categorization based on semantic relatedness[J].Journal of Hefei University of Technology(Natural Science),2011(10):1501-1504. |
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| Authors: | ZHANG Hao XIE Fei |
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| Institution: | ZHANG Hao1,2,XIE Fei3(1.School of Computer and Information,Hefei University of Technology,Hefei 230009,China,2.Dept.of Basic Medicine,Wannan Medical College,Wuhu 241000,3.Dept.of Computer Science and Technology,Hefei Normal University,Hefei 230601,China) |
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| Abstract: | Traditional text representation is based on the vector space model that uses the method of feature selection to reduce the dimension of the feature space.The words in the text are considered to be mutually independent without any semantic information between them.In this paper,a new method of text categorization is proposed based on semantic feature selection.Based on the traditional feature selection and considering the semantic relatedness between the words,those words that have strong semantic relatednes... |
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| Keywords: | text categorization vector space model feature selection semantic relatedness |
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