基于树形结构的评论文本相似度计算算法  

Method of Calculating Comment Text Similarity Based on Tree Structure

作　　者：张考[1] 赵永忠[2] 齐超[1] 

机构地区：[1]国家数字交换系统工程技术研究中心 [2]78020部队

出　　处：《信息工程大学学报》2016年第5期555-558,585,共5页Journal of Information Engineering University

摘　　要：文本相似度度量对于促进信息处理领域的发展具有重要意义。针对评论文本提出了一种基于树形结构的内容相似性度量方法。该方法利用评论文本的内容组织特征,将其分解为对应树各层之间的相似性度量,从而使得每层相似度的度量对象都为同类型的词语,进而分别采用合适的相似性度量方法,最后再对各层相似度赋予不同的权重,并通过融合树各层的相似度最终得到整体的相似度。在Amazon数据集上的实验结果表明文章方法较之于其它常见度量方法更加有效,准确率更高。Text similarity measure plays a significance role in promoting the development of informa- tion processing. To address the commented text, this paper proposes a method of measuring text con- tents similarity based on tree structure. With the use of commented text- content organization fea- tures, this method divides the similarity measure into the corresponding parts between the layers of tree. Accordingly, the objects of similarity measure in each layer are the same type of words. Then suitable methods of similarity measure are adopted respectively, and different weights are given to the similarities in different layers. Finally, the overall similarity is achieved by combining the simi- larities in all the different tree layers. The experimental results on Amazon datasets show that the proposed method is more effective and has a higher accuracy than other common measuring.methods

关 键 词：评论文本 树形结构 文本相似度 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]