# Semantic Similarity Analysis for Examination Questions Classification Using WordNet
## 4 Result and Discussion
### Similarity Matrix Scores Analysis and Sorting in Question Classification Module
Table 10 shows the mean value of the top 20, 40, 80, 100 and 110 similarity scores per each Bloom level, and the Bloom level with the highest similarity score switched from Level 2 to Level 3 when the pick of the top similarity scores increased from the top 80 to the top 100. Hence, another experiment was conducted to identify the suitable amount of similarity scores to be summarized. This ensured that the most relevant synsets verbs could be considered in the QC. The experiment result showed the top 120 similarity scores and the pick of similarity scores yielding the highest Bloom level classification accuracy in the 200-examination question dataset. However, the accuracy was improved if different top similarity scores were picked depending on the condition of the RW matching exactly with any BVs. If the RW matched exactly with any of the BVs from multiple BT levels, the top 120 similarity scores picked provided the best Bloom level classification accuracy. If no exact matching between RWs with any BVs was found, the top 80 similarity scores picked provided the greatest accuracy. As a result, the top 80 similarity scores picked were used if the RW did not match exactly with any BVs; the top 120 similarity scores picked were used if the RW matched exactly with any of the BVs. This pick combination resulted in an overall 83% accuracy in the Bloom level classification of the 200-examination question datasets. Table 11 shows an \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Top Scores** & **Bloom Level 1** & **Bloom Level 2** & **Bloom Level 3** & **Bloom Level 4** & **Bloom Level 5** & **Bloom Level 6** & **Bloom Level 6** \\ \hline Top 20 Pick & 0.329 & 0.371 & 0.337 & 0.328 & 0.309 & 0.322 & Bloom Level 2 \\ \hline Top 40 Pick & 0.297 & 0.330 & 0.299 & 0.303 & 0.268 & 0.289 & Bloom Level 2 \\ \hline Top 60 Pick & 0.275 & 0.305 & 0.282 & 0.284 & 0.268 & 0.276 & Bloom Level 2 \\ \hline Top 80 Pick & 0.265 & 0.287 & 0.282 & 0.267 & 0.268 & 0.276 & Bloom Level 2 \\ \hline Top 100 Pick & 0.265 & 0.270 & 0.282 & 0.257 & 0.268 & 0.276 & Bloom Level 3 \\ \hline Top 110 Pick & 0.265 & 0.260 & 0.282 & 0.257 & 0.268 & 0.276 & Bloom Level 3 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Bloom level with highest score depending on the amount of similarity scores summarized. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Statistical Approaches to Summarize** & **Bloom** & **Bloom** & **Bloom** & **Bloom** & **Bloom** & **Bloom** \\
**Similarity Scores of RW—Write”** & **Level 1** & **Level 2** & **Level 3** & **Level 4** & **Level 5** & **Level 6** \\ \hline MEAN & 0.2549 & 0.2604 & **0.2702** & 0.2555 & 0.2574 & 0.2687 \\ \hline MEDIAN & 0.2500 & 0.2500 & 0.2500 & 0.2500 & 0.2500 & 0.2500 \\ \hline MAXIMUM & 0.8571 & 0.8571 & 0.7500 & 0.6000 & 0.8571 & **1.0000** \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Similarity score matrix summarized into single score for each Bloom level using statistical approaches—mean, maximum and median. \begin{table}
\begin{tabular}{c c} \hline \hline
**Statistics Measures** & **Grade** & **The 200-Examination Question Dataset** \\ \hline \multirow{4}{*}{Mean} & Successful Bloom Level Classification and Accurate & 83.0\% \\ \cline{2-2}  & Successful Bloom Level Classification but Inaccurate & 17.0\% \\ \cline{2-2}  & Inconclusive Bloom Level Classification & 0.0\% \\ \hline \multirow{4}{*}{Maximum} & Successful Bloom Level Classification and Accurate & 37.0\% \\ \cline{2-2}  & Successful Bloom Level Classification but Inaccurate & 33.0\% \\ \cline{2-2}  & Inconclusive Bloom Level Classification & 30.0\% \\ \hline \multirow{4}{*}{Median} & Successful Bloom Level Classification and Accurate & 30.0\% \\ \cline{2-2}  & Successful Bloom Level Classification but Inaccurate & 5.0\% \\ \cline{2-2}  & Inconclusive Bloom Level Classification & 65.0\% \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Effectiveness of statistics measures—mean, maximum and median in the 200-examination question dataset.