ChatGPT: Unlocking the Future of NLP inFinance

ArXiv ID: ssrn-4323643 “View on arXiv”

Authors: Unknown

Abstract

This paper reviews the current state of ChatGPT technology in finance and its potential to improve existing NLP-based financial applications. We discuss the eth

Keywords: ChatGPT, Natural Language Processing (NLP), Financial Technology (FinTech), Machine Learning, Ethics in AI, General Finance

Complexity vs Empirical Score

• Math Complexity: 1.5/10
• Empirical Rigor: 1.0/10
• Quadrant: Philosophers
• Why: This paper is a literature review discussing the capabilities and applications of ChatGPT in finance, featuring no mathematical derivations, formulas, or empirical backtesting. It focuses on conceptual discussion, ethical considerations, and future research directions, resulting in low scores for both math complexity and empirical rigor.

  flowchart TD
    A["Research Goal:<br/>Evaluate ChatGPT in Finance NLP"] --> B["Key Inputs:<br/>Financial Texts, NLP Benchmarks"]
    B --> C["Methodology:<br/>Review, Compare, Analyze Ethics"]
    C --> D{"Computational Process"}
    D --> E["Application:<br/>Sentiment/Forecasting Models"]
    D --> F["Constraint:<br/>Hallucinations/Data Privacy"]
    E & F --> G["Outcomes:<br/>Enhanced NLP Capabilities"]
    G --> H["Outcomes:<br/>Ethical & Bias Considerations"]