We can observe that not only for general domain datasets but also for specific domain datasets, our term embedding learning approach has achieved significantly better performance than Yu's method and the Word2Vec method in terms of accuracy (ttest, p-value < 0.05).
our approach improves the average accuracy by 22% compared to Yu's method, and by 9% compared to the Word2Vec method.