To deal with the problems of feature sparseness and fuzzy boundaries of categorization exists in classification of audit problems
an improved short text categorization method oriented towards field of auditing is put forward.Firstly
a specialized feature set is builded for audit problems
the primary calculation method is designed based on synonym word set oriented towards field of auditing as well as designated rules
law library. Then the feature weight of those words with highly similarity to target words is adjusted.Finally
the SVM decision tree is used as multi-class classifier for short text classification.Experimental results show that a satisfy result can be got with this method from problem categorization of audit reports and it can be used in practical needs.