基于关键词相似度分析的网站内容分析方法

Shruti Kohli, Sandeep Kaur, G. Singh
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引用次数: 11

摘要

内容是任何网站最重要的元素。基于关键字的报告,从网络分析工具获得,提供洞察网站的内容可用性。本文提出了一种“关键词相似度量工具”(KSMT),它可以将具有相关意义的相似关键词结合起来,对基于关键词的报告进行优化,得到更接近、更简洁的图像。其目的是提高数据的准确性,克服类似的关键字在报告中被大量分离的限制。这种方法还提供了类似关键字数据的整体视图,通过结合矩阵,如跳出率,访问相似的关键字,因此旨在提供一个集体的视图和内容分析。该方法还提供了一种比较&用用户提供的“建议关键词”分析关键词。KSMT工具是使用Perl、Apache和flex开发的。
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A Website Content Analysis Approach Based on Keyword Similarity Analysis
Content is most important element on any website. Keyword based reports, obtained from web analytics tools, provide insight to content usability of website. In this paper a tool 'Keyword Similarly Measure Tool'(KSMT) is presented which can be used to optimize the Keyword based report by combining the similar keyword that have relevant meaning and get a closer and concise picture. The aim is to improve the data accuracy and overcome limitation of similar keywords being vastly separated in the report. This way the methodology also provides holistic view of the data for similar keywords, by combining the matrices like bounce-rate, visits for the similar keywords and hence aim to provide a collective view and content analysis. The methodology also provides a way to compare & analyze Keywords with 'Suggested Keyword' provided by the user. The KSMT tool is developed using Perl, Apache and flex.
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