تحديات تطبيقات معالجة اللغة الطبيعية في المحاسبة
https://doi.org/10.56989/benkj.v6i6.1958
Keywords:
NLP applications , financial accounting , financial system , financial analysisSustainable Development Goals (SDGs)
Abstract
The study aimed to identify the challenges of relying on natural language processing applications in accounting. This research addresses a set of challenges, focusing on the technical challenges that hinder the use of these technologies in accounting processes, the human factors that reduce the effectiveness of these technologies, and the reliability of the results derived from their use. The study adopted a descriptive approach, reviewing the literature and previous studies that addressed the topic, identifying shortcomings and their implications, and attempting to provide a set of recommendations related to the possibility of addressing these challenges to increase the effectiveness of these applications in accounting software. It also explores strategies for overcoming them and ensuring the effective and safe use of accounting technologies. Based on Develop specialized natural language processing (NLP) models tailored to the accounting domain, trained on real and diverse financial data sets to minimize errors and enhance analytical accuracy in financial contexts. Create intelligent financial dictionaries for NLP systems, encompassing comprehensive accounting terminology and related legislation, with continuous updates to reflect evolving financial standards and regulatory frameworks. Improve the quality of financial textual data by adopting Optical Character Recognition (OCR) techniques and applying structured formatting methods, making the data more suitable for automated analysis.
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