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Komolafe, Joshua Oluwafe (2024) Exploitation of Natural Language Processing for Financial Audits. Masters thesis, Dublin, National College of Ireland.
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Abstract
Financial audits play a crucial role in ensuring reliable corporate financial reporting. However, manually reviewing increasing volumes of textual data pose challenges to Auditors in thoroughly and consistently examining all relevant information. This research explores leveraging Natural Language Processing (NLP) to enhance the audit process. Reviewed literature identifies that NLP shows promise in areas like risk assessment, fraud detection, and workpaper review. However, most prior studies focus on limited datasets and lack integration into real audits. To address this, an NLP solution called SwiftAuditAI is designed using a large language model. The bot analyses financial statements and responds to audit questions to evaluate its ability to support audits. A comparison finds that SwiftAuditAI completes verification and extraction tasks on average 7 times faster than a human Auditor. For a sample of 20 questions, the bot's responses achieved 95% contextual accuracy compared to a human Auditor based on cosine similarity scoring of BERT embeddings.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Del Rosal, Victor UNSPECIFIED |
| Subjects: | H Social Sciences > HG Finance Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing |
| Divisions: | School of Computing > Master of Science in Artificial Intelligence for Business |
| Depositing User: | Tamara Malone |
| Date Deposited: | 07 Apr 2025 11:58 |
| Last Modified: | 07 Apr 2025 11:58 |
| URI: | https://norma.ncirl.ie/id/eprint/7383 |
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