Skip to content

Natural Language Processing (NLP) techniques and implementations using Python and popular libraries like NLTK, spaCy, and Transformers.

License

Notifications You must be signed in to change notification settings

Md-Emon-Hasan/Learn_NLP

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Natural Language Processing (NLP)

Welcome to the Natural Language Processing (NLP) repository! This repository is designed to help you explore and understand Natural Language Processing (NLP) techniques and applications. Whether you're new to NLP or looking to expand your knowledge, you'll find tutorials, examples, and projects here to support your learning journey.

📋 Contents


📖 Introduction

This repository serves as a comprehensive resource for learning Natural Language Processing (NLP) techniques and applications. It covers various aspects of NLP, including text processing, sentiment analysis, language modeling, and more. Whether you're a student, researcher, or developer, you'll find valuable resources to enhance your understanding and skills in NLP.


🔍 Topics Covered

  • Text Preprocessing: Tokenization, stemming, lemmatization.
  • Sentiment Analysis: Analyzing sentiment from text data.
  • Named Entity Recognition (NER): Identifying named entities in text.
  • Text Classification: Classifying text into categories or labels.
  • Language Modeling: Generating text and predicting sequences.
  • Deep Learning for NLP: Using neural networks for NLP tasks.
  • Applications: Chatbots, information retrieval, machine translation.

🚀 Getting Started

To get started with learning NLP, follow these steps:

  1. Clone the repository:

    git clone https://github.com/Md-Emon-Hasan/Learn_NLP.git
  2. Navigate to the project directory:

    cd Learn_NLP
  3. Explore topics and examples:

    • Each directory contains tutorials, examples, or projects related to specific NLP topics.

🤝 Contributing

Contributions to improve or expand the repository are welcome! Here's how you can contribute:

  1. Fork the repository.

  2. Create a new branch:

    git checkout -b feature/new-feature
  3. Make your changes:

    • Add new tutorials, examples, or improve existing documentation.
  4. Commit your changes:

    git commit -am 'Add a new feature or update'
  5. Push to the branch:

    git push origin feature/new-feature
  6. Submit a pull request.


🛠️ Challenges Faced

Throughout the development of this repository, challenges were encountered, including:

  • Implementing complex NLP algorithms and models.
  • Handling large-scale text data and optimizing performance.
  • Integrating diverse NLP techniques into cohesive applications.

📚 Lessons Learned

Key lessons learned from developing this repository include:

  • Enhanced understanding of NLP fundamentals and advanced techniques.
  • Proficiency in using libraries and frameworks for NLP tasks.
  • Importance of practical application and experimentation in mastering NLP concepts.

🌟 Why I Created This Repository

I created this repository to provide a structured and accessible learning resource for NLP enthusiasts. It aims to facilitate learning, experimentation, and application of NLP techniques across various domains, from academia to industry.


📜 License

This project is licensed under the Apache License 2.0. See the LICENSE file for more details.


📬 Contact

Feel free to reach out for any questions, feedback, or collaboration opportunities!

About

Natural Language Processing (NLP) techniques and implementations using Python and popular libraries like NLTK, spaCy, and Transformers.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published