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.