Financial Accounting Generation Technology Based on Intelligent Information Processing

abstract–Financial accounting is an indispensable part of enterprise management. The traditional financial accounting process has problems such as being cumbersome, time-consuming and error-prone. The financial accounting generation technology based on intelligent processing proposed in this article can well solve these problems. The article develops a financial accounting generation technology based on artificial intelligence and natural language processing methods, combined with machine learning algorithms and big data analysis technology. The technology first uses natural language processing technology to extract key information from structured and unstructured financial data, then applies machine learning algorithms for data analysis and pattern recognition, and finally automatically generates financial statements and analysis results. The experimental results show that the performance of this technology in the efficiency test is $\mathbf{9 0 \%}-98 \%$. This study verifies the effectiveness and advantages of financial accounting generation technology based on intelligent information processing.