Empirical Comparison of Concept Indexing and Latent Semantic Indexing on the Content Analysis of Filipino Essays Darrel

This paper proposes the first Automated Essay Grader (AEG) for the Filipino language with results that are competitive with human checkers. In this study, the authors focused on content evaluation using Concept Indexing (CI) and Latent Semantic Indexing (LSI). The two NLP algorithms were compared based on their accuracy and speed. The effects of spell checking, stop word removal, stemming, sub-clustering and normalization weighting schemes were also examined.