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.
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Razon et al. (2010) studied this question.
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