Automated essay content analysis based on Concept Indexing with Fuzzy C-means clustering

We present a new approach to essay content analysis using the dimensionality reduction algorithm called Concept Indexing (CI). Experiments were conducted to compare the performance of CI K-means and CI Fuzzy C-means with Latent Semantic Indexing (LSI). Both versions of CI outperform LSI in Exact Agreement Accuracy and Pearson's Product-Moment Correlation Coefficient measures on sample essays taken from high school English classes.