Int. J. of Information Technology and Management   »   2017 Vol.16, No.4

 

 

Title: Study of repeated e-government project audit based on text mining

 

Authors: Yan Hong Chen; Hui Hui Li; Zhi Nan Yu

 

Addresses:
School of Information, Zhejiang University of Finance and Economics, Hangzhou, China
School of Information, Zhejiang University of Finance and Economics, Hangzhou, China
School of Information, Zhejiang University of Finance and Economics, Hangzhou, China

 

Abstract: In recent years, a large amount of unstructured text data is produced in the auditing field. In order to obtain the abundant potential knowledge and auditing trails, researchers pay more attention to the text mining technology. In this paper, we first introduce the basic concepts and application of text mining. Then, we use TF-IDF method to model text documents as term frequency vectors, and compute similarity between text documents by using cosine similarity. The results of experiment in the repeated e-government project audit show the analysis method of text achieved a relatively good accuracy.

 

Keywords: texting mining; project audit; TF-IDF; repeated project; e-government.

 

DOI: 10.1504/IJITM.2017.10005719

 

Int. J. of Information Technology and Management, 2017 Vol.16, No.4, pp.391 - 404

 

Available online: 19 Jun 2017

 

 

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