---
title: Natural Language Processing meets Accounting and Finance: Review and Performance Comparison of Textual Analysis Approaches
url: https://www.ml-quant.com/papers/ssrn/4527724/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4527724
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4527724
featured: 2023-08-02
citations: 2
topic: LLMs & Text
---


# Natural Language Processing meets Accounting and Finance: Review and Performance Comparison of Textual Analysis Approaches

Performance Comparison: Despite the success of deep learning in Natural Language Processing, traditional machine learning and rule-based methods are still prevalent in accounting and finance, with deep learning performing best overall.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4527724
- Identifier: SSRN 4527724
- Released: 2023-07-31
- First featured: Quant Letter No. 10 (2023-08-02): https://www.ml-quant.com/issues/2023-08-02/
- Citations (Semantic Scholar): 2
- Published in: not yet
- Topic: LLMs & Text

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