Data & Code for "Making Differences Work: Financial Fraud Detection Based on Multi-subject Perceptions"

Published: 3 April 2024| Version 1 | DOI: 10.17632/9kbchybjvv.1
Contributor:
Guowen Li

Description

This project provides the data and code used in the paper "Making Differences Work: Financial Fraud Detection Based on Multi-subject Perceptions". These data include: the text data and data crawling files used in the study; the dictionaries we constructed; and the pre-processed files needed to run the model. We do not provide any model code because our work uses mainstream models, which you can find in our papers and implementations in code repositories such as GIT. Please feel free to contact the authors of the paper for more data requirements.

Files

Institutions

Central University of Finance and Economics

Categories

Dictionary, Textual Database, Fraud

Licence