ABSTRACT
Numerous researchers have investigated text-mining techniques to detect financial fraud. The purpose of this chapter is to review research studies on detecting financial fraud using text-mining techniques and to communicate the current state of the art to industry practitioners and academic scholars. The qualitative information contained in a company’s financial statements provides hidden clues for detecting financial fraud. Text mining is a technique for extracting useful information that can be used for decision-making and forecasting. The methodology included an analysis of 45 research studies and conference proceedings using a variety of keyword combinations. The majority of studies were obtained from a well-known online database. The study’s review can assist organisations in selecting the most appropriate technique in terms of accuracy, frequency, and performance.
