Title :
Automated essay content analysis based on Concept Indexing with Fuzzy C-means clustering
Author :
Razon, Abigail R. ; Vargas, Ma Lourdes J ; Guevara, Rowena Cristina L ; Naval, Prospero C., Jr.
Author_Institution :
Dept. of Comput. Sci., Univ. of the Philippines, Quezon City, Philippines
Abstract :
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.
Keywords :
educational administrative data processing; indexing; natural language processing; pattern clustering; CI K-means; CI fuzzy c-means; Pearson product-moment correlation coefficient; automated essay content analysis; automated essay grading; concept indexing; dimensionality reduction algorithm; educational reinforcement tool; exact agreement accuracy; fuzzy c-means clustering; language learning; latent semantic indexing; Accuracy; Indexing; Large scale integration; Matrix decomposition; Measurement; Semantics; Training;
Conference_Titel :
Circuits and Systems (APCCAS), 2010 IEEE Asia Pacific Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7454-7
DOI :
10.1109/APCCAS.2010.5775058
