{"id":22965503,"url":"https://github.com/cllspy/learn-nlp","last_synced_at":"2025-08-13T08:32:24.209Z","repository":{"id":265118365,"uuid":"895114207","full_name":"CllsPy/LearnNLP","owner":"CllsPy","description":"NLP with Python","archived":false,"fork":false,"pushed_at":"2024-12-08T00:46:55.000Z","size":63,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-02T04:29:06.450Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/CllsPy.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-27T15:28:48.000Z","updated_at":"2024-12-17T06:34:19.000Z","dependencies_parsed_at":"2025-02-10T00:30:50.866Z","dependency_job_id":null,"html_url":"https://github.com/CllsPy/LearnNLP","commit_stats":null,"previous_names":["cllspy/learn-nlp","cllspy/learnnlp"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/CllsPy/LearnNLP","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FLearnNLP","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FLearnNLP/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FLearnNLP/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FLearnNLP/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CllsPy","download_url":"https://codeload.github.com/CllsPy/LearnNLP/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FLearnNLP/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270210199,"owners_count":24545825,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-13T02:00:09.904Z","response_time":66,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-12-14T20:14:50.342Z","updated_at":"2025-08-13T08:32:23.953Z","avatar_url":"https://github.com/CllsPy.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Natural Language Processing (NLP) Learning Repository\n\nWelcome to this repository dedicated to learning and exploring Natural Language Processing (NLP). This repo serves as a collection of resources, projects, and experiments designed to help you understand and apply NLP concepts, algorithms, and techniques. Whether you're a beginner or looking to expand your knowledge, this repo provides the foundation and tools to guide you through the process of learning NLP.\n\n## Book\n\n![image](https://github.com/user-attachments/assets/bc83ec3f-f7cf-40b8-89a3-5bb4f4fdb3f3)\n\n## Problem Set\n\n- chapter 03\n   - en\n   - [doc](https://github.com/CllsPy/Learn-NLP/tree/main/ch03/problem-set-0/doc)\n\n## Introduction\n\nNatural Language Processing (NLP) is a subfield of artificial intelligence (AI) focused on the interaction between computers and human language. The goal of NLP is to enable computers to understand, interpret, and generate human language in a way that is both meaningful and useful. \n\nThis repository contains various resources to help you learn NLP, including:\n- Key algorithms and techniques\n- Implementations of common NLP tasks\n- Exploratory data analysis\n- Preprocessing and feature extraction methods\n- Evaluation metrics\n\n## Key Concepts\n\nThe following are key concepts you will explore in this repository:\n\n- **Text Preprocessing**: Techniques to clean and format text data, such as tokenization, stop-word removal, and stemming/lemmatization.\n- **Word Embeddings**: Methods like Word2Vec, GloVe, and FastText for representing words in continuous vector spaces.\n- **Language Models**: Understanding and implementing models like n-grams, RNNs, LSTMs, and transformers.\n- **Named Entity Recognition (NER)**: Identifying and classifying entities (e.g., person, location, date) in text.\n- **Sentiment Analysis**: Analyzing the sentiment of a given text, whether it’s positive, negative, or neutral.\n- **Text Classification**: Assigning predefined labels to text (e.g., spam detection, topic categorization).\n- **Sequence-to-Sequence Models**: Building models for machine translation, text summarization, and more.\n\n## Projects and Examples\n\nThis repository includes a variety of hands-on projects and code examples. Some of the key projects include:\n\n1. **Text Classification**: Implementing a model to classify text into categories like spam or non-spam.\n2. **Sentiment Analysis**: Analyzing movie reviews or social media posts to determine their sentiment.\n3. **Named Entity Recognition**: Extracting entities from text using both rule-based and machine learning-based approaches.\n4. **Language Modeling**: Building an RNN-based or Transformer-based language model from scratch.\n5. **Machine Translation**: Implementing a simple translation model using sequence-to-sequence techniques.\n\nCheck the `projects/` directory for all project-specific files and notebooks.\n\n## Installation\n\nTo get started with this repository, clone it to your local machine and install the necessary dependencies.\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/yourusername/nlp-learning.git\n   cd nlp-learning\n   ```\n\n2. Install the dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n**Dependencies** may include libraries such as:\n- `nltk` for basic NLP tasks\n- `spacy` for advanced NLP operations\n- `transformers` for transformer-based models\n- `torch` and `tensorflow` for deep learning models\n- `scikit-learn` for machine learning models\n\n## Usage\n\nOnce the repository is cloned and dependencies are installed, you can start exploring the projects and examples. For example, to run a sentiment analysis example:\n\n1. Navigate to the project folder:\n   ```bash\n   cd projects/sentiment-analysis\n   ```\n\n2. Run the Jupyter Notebook or Python script to begin:\n   ```bash\n   jupyter notebook sentiment_analysis.ipynb\n   ```\n\nAlternatively, you can run scripts directly from the command line:\n```bash\npython sentiment_analysis.py\n```\n\nRefer to the individual project README files for more specific instructions on each project.\n\n## Contributing\n\nWe welcome contributions! If you'd like to contribute to this repository, please follow these steps:\n\n1. Fork the repository.\n2. Create a new branch (`git checkout -b feature-name`).\n3. Make your changes.\n4. Commit your changes (`git commit -am 'Add new feature'`).\n5. Push to your branch (`git push origin feature-name`).\n6. Open a Pull Request.\n\nPlease ensure that your code follows the existing style and includes tests where applicable.\n\n## Resources\n\nHere are some valuable resources to help you on your NLP learning journey:\n\n- [Stanford NLP Course](https://web.stanford.edu/class/cs224n/)\n- [Deep Learning for NLP with PyTorch](https://pytorch.org/tutorials/beginner/nlp.html)\n- [NLTK Documentation](https://www.nltk.org/)\n- [SpaCy Documentation](https://spacy.io/)\n- [The Illustrated Transformer](http://jalammar.github.io/illustrated-transformer/)\n- [Machine Learning Mastery](https://machinelearningmastery.com/)\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n---\n\nHappy learning, and feel free to reach out with any questions or suggestions!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcllspy%2Flearn-nlp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcllspy%2Flearn-nlp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcllspy%2Flearn-nlp/lists"}