The proposed approach still performs much better than the reference algorithms when using a general purpose stop word list, which means that the proposed approach can improve performance well even as a completely unsupervised approach without any training.
the results demonstrate that the proposed approach can be applied to different domains easily even without he proposed approach is  This work was done while the first author was working at the Hong Kong Polytechnic University supported by CERG Grant B-Q941 and Central Research Grant: G-U297.