AI-Driven Financial Sentiment Analysis for Strategic Business Insights: the Role of Fine-Tuned Llama 2

EasyChair Preprint 14073

Abstract

In the evolving landscape of financial markets, strategic business insights derived from robust

sentiment analysis are crucial for maintaining a competitive edge. The advent of Artificial

Intelligence (AI) has revolutionized this domain, enabling more accurate and timely assessments

of financial sentiment. This paper explores the pivotal role of AI-driven financial sentiment

analysis, focusing specifically on the application of Fine-Tuned Llama 2, an advanced language

model. Leveraging the capabilities of Llama 2, we demonstrate how fine-tuning enhances the

model's ability to interpret and analyze complex financial narratives from diverse data sources,

including news articles, social media, and financial reports. Our findings highlight the model's

efficacy in identifying market trends, gauging investor sentiment, and predicting financial

outcomes.

Keyphrases: Artificial Intelligence (AI), Customer Relationship Management (CRM), Enterprise Resource Planning (ERP)

@booklet{EasyChair:14073,
  author    = {Abill Robert},
  title     = {AI-Driven Financial Sentiment Analysis for Strategic Business Insights: the Role of Fine-Tuned Llama 2},
  howpublished = {EasyChair Preprint 14073},
  year      = {EasyChair, 2024}}