Comparative Analysis of Various Similarity Measures for Finding Similarity of Two Documents

Maedeh Afzali, Suresh Kumar
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引用次数: 8

Abstract

Similarity measurements are elemental concepts in text mining and information retrieval that helps us to quantify the similarity between documents, which is effective in the improvement of the performance of search engines and browsing techniques. Nowadays, varieties of similarity measures are available, but it is not clear that which similarity measure is more effective in finding the similarity of text documents. The aim of this paper is to provide a comparative analysis of various term based similarity measures such as Cosine similarity, Jaccard and Dice coefficient in order to evaluate the performance of this similarity measures in finding the similarity of two text documents.
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两种文献相似度查找方法的比较分析
相似度度量是文本挖掘和信息检索中的基本概念,它可以帮助我们量化文档之间的相似度,从而有效地提高搜索引擎和浏览技术的性能。目前已有多种相似度度量方法,但哪种相似度度量方法在寻找文本文档的相似度方面更有效尚不清楚。本文的目的是对各种基于术语的相似度度量(如余弦相似度、Jaccard和Dice系数)进行比较分析,以评估这些相似度度量在寻找两个文本文档的相似度方面的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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