Installation Guide

This guide will walk you through the process of setting up the Sentiment Analysis Web Application on your local machine.

Prerequisites

Before you begin, ensure you have the following installed:

• Python 3.6 or higher
• pip (Python package manager)
• Git (optional, for cloning the repository)

Step 1: Clone the Repository

git clone https://github.com/yourusername/sentiment-analysis.git
cd sentiment-analysis

Alternatively, you can download the ZIP file from the GitHub repository and extract it.

Step 2: Install Required Packages

Install all the required Python packages using pip:

pip install flask waitress nltk joblib scikit-learn

If you prefer to use a virtual environment (recommended):

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

# Install packages
pip install flask waitress nltk joblib scikit-learn

Step 3: Download NLTK Resources

The application requires NLTK resources for text preprocessing. You can download them by running:

# Run Python in interactive mode
python

# In the Python interpreter
import nltk
nltk.download('stopwords')
nltk.download('punkt')
exit()

Alternatively, the application is configured to download these resources automatically on first run.

Step 4: Verify Installation

To verify that everything is installed correctly, run the application in development mode:

python app.py

You should see output indicating that the Flask development server has started, and the application is running on http://127.0.0.1:5000/.

Troubleshooting

If you encounter any issues during installation, please check the Troubleshooting page or open an issue on GitHub.