Noun Phrase Classification

Table of Contents

• Introduction
• Key Features
• Why Noun Phrase Classification?
• Getting Started
• Contributing
• License
• Contact

Introduction

Welcome to the Noun Phrase Classification repository! This project is dedicated to developing and implementing a Noun Phrase Classification system for natural language processing (NLP) tasks. Noun Phrase Classification involves categorizing noun phrases within text documents into predefined or custom-defined classes or categories. Whether you're working on sentiment analysis, document categorization, or topic modeling, this system provides a foundation for your NLP projects.

Key Features

• Data Preprocessing: Robust data preprocessing techniques to clean and prepare text data for classification.
• Feature Engineering: Techniques for extracting relevant features from noun phrases.
• Machine Learning Models: Implementation of various machine learning algorithms, including Logistic Regression, Random Forest, Support Vector Machines, and Neural Networks for classification.
• Evaluation Metrics: Tools and scripts to evaluate the performance of classification models using common metrics like precision, recall, F1-score, and accuracy.
• Hyperparameter Tuning: Strategies for optimizing model hyperparameters to improve classification accuracy.
• Cross-Validation: Techniques for robust model evaluation through cross-validation.
• Deployment: Guidance and resources for deploying the trained model for real-world applications.
• Documentation: Comprehensive documentation explaining the codebase, usage, and best practices.

Why Noun Phrase Classification?

Noun Phrase Classification has numerous applications in the field of natural language processing. It allows you to extract meaningful insights from text data and automate the categorization of content, making it valuable for tasks such as sentiment analysis, document categorization, topic modeling, and more. This repository serves as a starting point for implementing a Noun Phrase Classification system tailored to your specific NLP needs.

Getting Started

1. Clone this repository to your local machine.
2. Follow the setup instructions provided in the documentation to prepare your environment.
3. Explore the provided datasets and example notebooks to understand how to use the system effectively.
4. Experiment with different algorithms and configurations to adapt the classification system to your specific NLP tasks.

Contributing

Contributions are welcome! If you have improvements, bug fixes, or additional features to propose, please follow these steps:

1. Fork the repository.
2. Make your changes.
3. Submit a pull request.

License

This project is licensed under the MIT License.

Contact

For any questions, issues, or collaboration inquiries, please contact [Ruturaj Ranpise] at [ruturaj26201@gmail.com].

Start classifying noun phrases in text documents efficiently with this Noun Phrase Classification system. Happy coding!