We propose and study a new variant of the SVM -the SVM with uneven margins, tailored for document categorisation problems (i.e. problems where classes are highly unbalanced). Our experiments showed that the new algorithm significantly outperformed the SVM with respect to the document categorisation for small categories. Furthermore, we report the results of the SVM as well as our new algorithm on the Reuters Chinese corpus for document categorisation, which we believe is the first result on this new Chinese corpus.
Li et al. REF introduced the uneven margin parameter (τ margin) in the SVM algorithm for document categorization for small categories.
The SVM with uneven margins and Chinese document categorization
In Proceedings of The 17th Pacific Asia Conference on Language, Information and Computation (PACLIC17
Engineering Computer Science