Financial Sentiment Analyzer with FinBERT

A Gradio-powered web application that performs sentiment analysis on financial headlines using FinBERT. The app classifies headlines as positive, negative, or neutral, making it useful for financial market sentiment analysis.

Features

• Custom Input Analysis: Analyze your own financial headlines or news snippets

• Yahoo Finance Integration: Automatically fetch and analyze latest headlines from Yahoo Finance RSS feeds

• Color-Coded Results: Easy-to-interpret sentiment results with visual indicators
  • 🟢 Green for positive sentiment
  • 🔴 Red for negative sentiment
  • ⚪ Gray for neutral sentiment

Prerequisites

• Python 3.8 or higher
• pip (Python package installer)

Installation & Usage

1. Clone the repository:

git clone https://github.com/kimon2199/financial-sentiment-analyzer.git
cd financial-sentiment-analyzer

2. Install required packages:

pip3 install -r requirements.txt

3. Log into Hugging Face:

cp .env.example .env

Add your Hugging Face token to the .env file.

4. Start the application:

python3 -m financial_headline_analyzer.app

4. Open your web browser and navigate to the URL provided in the terminal (typically http://127.0.0.1:7860)

5. Use the application:

   • Enter custom headlines in the text area (one headline per line) and click "Analyze Sentiment on Custom Input"
   • Or click "Analyze Sentiment on Yahoo Finance Headlines" to fetch and analyze latest headlines

Dependencies

• gradio - Web interface framework
• transformers - For FinBERT model
• torch - PyTorch for deep learning
• pandas - Data manipulation and analysis
• huggingface_hub - For logging into Hugging Face
• python-dotenv - For loading environment variables from .env file

Acknowledgments

• FinBERT for the financial sentiment analysis model
• Gradio for the web interface framework