sentiment-analysis

Sentiment analysis tool that processes YouTube comments and provides a sentiment score and summary for each video.

Installation

1. Clone the repository:

   git clone https://github.com/
   cd machine-learning-resume-project

2. Create a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Set up environment variables:

   • Create a .env file in the root directory and add your YouTube API key:

   YOUTUBE_API_KEY=your_youtube_api_key

Usage

1. Run the Flask API:

   python app.py

2. Open the frontend:

   • Navigate to http://localhost:5000 in your web browser.
   • Enter the URL of a YouTube video and click "Analyze".

Project Structure

• app.py: The main Flask application.
• model.py: Code for loading and using the TensorFlow model.
• static/: Static files for the frontend.
• templates/: HTML templates for the frontend.
• requirements.txt: List of required Python packages.