Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs
Table 6: Results for predicting the direction of topic merge. For the two-step approach the best five results are only shown.
['Classifier', 'Accuracy', 'Precision', 'Recall', 'F-Score']
Predicting the direction of topic merge: We use the above discriminating factors in a standard classification framework to predict the direction of topic merge. We use Support Vector Machine (SVM), Random Forest and Naive Bayes classifiers available in Weka Toolkit for classification. We achieve 88.857% accuracy with high precision and recall. From the table, we can observe that SVM achieves a slightly better performance than the other classifiers.