Study on Short Text Categorization Technology Oriented Towards Field of Auditing

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.