【摘要】 为了进一步提高Web信息抽取的准确性和效率,通过分析传统中文关键词抽取方法,文章提出了一种基于BP神经网络的中文关键词抽取方法。该方法在分析和提取术语特征的基础上,给出了确定网络隐层节点数的表达式和多个术语特征表达式,以此确定网络参数,实现中文关键词的抽取。实验结果表明,该方法查全率、查准率和查找性能较高,具备较好的应用前景。更多还原

【Abstract】 In order to further enhance the accuracy and efficiency of Web information extraction,a Chinese keyword extraction method based on back propagation(BP)neural network is proposed by analyzing of the traditional Chinese keyword extraction method.The network hidden layer nodes expressions and terminology characteristic expression are given on the basis of analyzing and extracting term characteristic so as to determine the network parameters and achieve the Chinese keyword extraction.The experimental results show that the proposed method possesses high recall ratio,precision ratio and look-up performance,and it has a good application prospect.更多还原