NLP eBooks Sentiment Analysis

This repository contains Natural Language Processing (NLP) analysis of e-books using Python. The project demonstrates various NLP techniques and text analysis methods applied to literary works.

Project Structure #

• Book_Analysis.ipynb: Main Jupyter notebook containing the book analysis code
• miracle_in_the_andes.txt: Sample text file for analysis
• Untitled.ipynb: Additional analysis notebook

Features #

• Text preprocessing and cleaning
• Sentiment analysis
• Word frequency analysis
• Topic modeling
• Text visualization

Requirements #

• Python 3.x
• Jupyter Notebook
• Required Python packages (to be added to requirements.txt)

Getting Started #

1. Clone the repository:

git clone https://github.com/AhmadTawil1/NLP-ebooks.git

2. Install the required packages:

pip install -r requirements.txt

3. Open the Jupyter notebooks to view the analysis:

jupyter notebook

Contributing #

Contributions are welcome! Please feel free to submit a Pull Request.

License #

This project is licensed under the MIT License - see the LICENSE file for details.

Author #

Ahmad Tawil