Published on: April 2026
NATURAL LANGUAGE PROCESSING FOR AUDITING FINANCIAL CONTRACTS AND AGREEMENTS
Singiri Tejasree
K Naresh
Article Status
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Abstract
Complex legal language used in financial contracts and agreements necessitates close examination to guarantee correctness, compliance, and risk reduction. Conventional auditing of such papers is a labor-intensive, time-consuming procedure that frequently relies on subject matter specialists. Natural language processing (NLP) methods have become effective tools for automating document analysis due to the quick development of artificial intelligence.
How to Cite this Paper
Tejasree, S. (2026). Natural Language Processing for Auditing Financial Contracts and Agreements. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.075
Tejasree, Singiri. "Natural Language Processing for Auditing Financial Contracts and Agreements." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.075.
Tejasree, Singiri. "Natural Language Processing for Auditing Financial Contracts and Agreements." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.075.
References
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[3] Natural Language Processing with Python, S. Bird, E. Klein, and E. Loper, O'Reilly Media, 2009.
[4] Neural Network Approaches for Natural Language Processing, Y. Goldberg, 2017.
[5] Speech and Language Processing, D. Jurafsky and J. H. Martin, 2021.
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- •Published on: Apr 06 2026
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