Automatic ranking system of university based on technology readiness level using LDA-Adaboost.MH

Abstract

Regarding the intense competition among universities, a university ranking based on certain criteria is widely carried out. There are two core criteria for producing University Ranking, namely qualitative and quantitative criteria. Commonly, the ranking is yielded from an extensive survey involving related parties. Considering the labour intensive work of providing the ranking by the survey, this work proposes to measure the quality of university based on their technology readiness level by with the ranking of universities will be provided. Technology readiness level is the maturity level of research and technology implementation adopted by the university. To obtain an academic reputation score of universities based on the technology readiness level, we investigate the content of the academic paper of universities. We assume that the abstract of the paper represents the paper content. Accordingly, we collect the paper abstract of several reputable universities in Indonesia and mine the content by using LDA-Adaboost.MH. We also introduce formula to calculate university academic reputation. In the last step, a university ranking is generated. The results is comparable with the well-known QS University Rankings by 91.6% of similarity.