News Fetcher and Analyzer

This project is a Streamlit-based application that fetches and analyzes news articles related to a specific stock ticker. It provides sentiment analysis, summarization, and sector/ticker extraction for each article.

Features

• Fetch news articles using the NewsAPI.
• Perform sentiment analysis using FinBERT.
• Summarize articles using BART.
• Extract related stock tickers and sectors from the article content.

Project Structure

news_fetcher/
├── modules/
│   ├── config.py          # Configuration constants (API keys, keywords, etc.)
│   ├── news_fetcher.py    # Functions for fetching news articles
│   └── text_analysis.py   # Functions for text analysis (sentiment, summarization, etc.)
├── app.py    # Main Streamlit application
├── README.md              # Project documentation
└── requirements.txt       # Python dependencies

Setup Instructions

1. Clone the repository:

   git clone <repository-url>
   cd news_fetcher

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   streamlit run app.py

Requirements

• Python 3.7+
• NewsAPI key (replace the placeholder in config.py with your key).

Dependencies

See requirements.txt for the full list of dependencies.

Usage

1. Enter a stock ticker symbol (e.g., AAPL, TSLA) in the sidebar.
2. Select the number of articles to fetch.
3. Click the "Fetch News" button to analyze the articles.

License

This project is licensed under the MIT License.