仲兆满, 李存华. 基于重要事件的文本分类方法研究[J]. 微电子学与计算机, 2012, 29(3): 6-9.
引用本文: 仲兆满, 李存华. 基于重要事件的文本分类方法研究[J]. 微电子学与计算机, 2012, 29(3): 6-9.
ZHONG Zhao-man, LI Cun-hua. A Method of Text Classification Based on Key Events[J]. Microelectronics & Computer, 2012, 29(3): 6-9.
Citation: ZHONG Zhao-man, LI Cun-hua. A Method of Text Classification Based on Key Events[J]. Microelectronics & Computer, 2012, 29(3): 6-9.

基于重要事件的文本分类方法研究

A Method of Text Classification Based on Key Events

  • 摘要: 在分析了文本中重要事件识别和文本分类方法的基础之上, 提出了一种基于重要事件的文本分类方法.重点研究了该方法涉及到的两个关键技术:以重要事件表示文本和获取文本类别的模板.在中文事件语料CEC上, 使用本文介绍的文本分类方法得到的平均准确率达到80%, 而使用传统的以词为特征的文本分类方法得到的平均准确率为72%.

     

    Abstract: After analyzing the methods of identifying important events from texts and text classification, we present a method of text classification based on key events.Two key technologies are mainly introduced: representing text using key events and getting text classification templates.We apply two methods to classify texts in Chinese Event Corpus (CEC) .The average accuracy achieves 80% using the method proposed, and the average accuracy is 72% by the traditional method taking words as text features.

     

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