Published March 5, 2026
| Version v1
Dataset
Open
Improving Accuracy in Fraud Detection in Public Companies Financial Reports Using Natural Language Processing
Authors/Creators
-
1.
Binus University
- 2. Asuransi Takaful Utama
Description
This dataset contains textual data used to analyze potential fraud in public companies’ financial reports. The data were collected from publicly available corporate reports and processed for Natural Language Processing (NLP) analysis.
Files
Fraud - Dataset.zip
Files
(71.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:b69ff2896a25ab6e03fdeb10fa438909
|
71.4 MB | Preview Download |
Additional details
Dates
- Accepted
-
2026-01-31
Software
- Programming language
- Python