Effective way of Ranking Universities based on Online InfoBase Using Analytical Hierarchy Process

摘要

This paper proposes a ranking system that ranks universities based on their website contents (online InfoBase). This approach uses text mining technique and machine learning technique for classifying documents of each webpage into multiple categories and used analytical hierarchy process (AHP) for ranking. The proposed system outputs ranks of universities. Nowadays it becomes inevitable for every institute to represent quality content in their websites. This applies to universities also. Taking note on this, our system ranked those universities according to their content exposure. Crawling has been done in a focused manner where only the website's specified contents were downloaded. Then each webpage has been Categorized using statistical analysis. Then the universities are ranked using the Analytical Hierarchy Process (AHP) based on the importance that a university has given to the features for ranking. This measure can be used to see the quality of the contents in the websites of universities. Our results has been validated by comparing our results with other existing university ranking system's results.