{"id":22785821,"url":"https://github.com/cyberfantics/naturallanguageprocessing","last_synced_at":"2026-06-12T16:33:18.587Z","repository":{"id":267107721,"uuid":"900278117","full_name":"cyberfantics/NaturalLanguageProcessing","owner":"cyberfantics","description":"A comprehensive repository for the Natural Language Processing course, featuring lecture notes, slides, and practical implementations of key NLP concepts using Python and popular libraries.","archived":false,"fork":false,"pushed_at":"2025-01-27T04:33:55.000Z","size":1260,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-30T15:34:08.782Z","etag":null,"topics":["chatbots","hacktoberfest","lemmatization","nltk","nltk-python","spacy-nlp","stemming","tokenization","transformer"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/cyberfantics.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-12-08T11:16:54.000Z","updated_at":"2025-01-27T04:33:59.000Z","dependencies_parsed_at":"2024-12-08T12:26:46.827Z","dependency_job_id":"1c1f62e2-8bfe-44d0-9f7d-00e6be6dc30f","html_url":"https://github.com/cyberfantics/NaturalLanguageProcessing","commit_stats":null,"previous_names":["cyberfantics/naturallanguageprocessing"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/cyberfantics/NaturalLanguageProcessing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyberfantics%2FNaturalLanguageProcessing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyberfantics%2FNaturalLanguageProcessing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyberfantics%2FNaturalLanguageProcessing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyberfantics%2FNaturalLanguageProcessing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cyberfantics","download_url":"https://codeload.github.com/cyberfantics/NaturalLanguageProcessing/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyberfantics%2FNaturalLanguageProcessing/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34253932,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-12T02:00:06.859Z","response_time":109,"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":["chatbots","hacktoberfest","lemmatization","nltk","nltk-python","spacy-nlp","stemming","tokenization","transformer"],"created_at":"2024-12-11T23:07:48.890Z","updated_at":"2026-06-12T16:33:18.572Z","avatar_url":"https://github.com/cyberfantics.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Natural Language Processing (NLP) Course\nWelcome to the **Natural Language Processing (NLP)** repository! This repository contains course materials, including labs, lecture notes, and practice files, for the NLP course taught by **Mam Uzma**.\n\nGoogle Drive for Slides: [Course Slides](https://drive.google.com/drive/folders/1jxcGj9lB-6ifeMAl_-p2KBQMH1dcy-G4?usp=sharing)\n\n## 🗂 Repository Structure\nThe repository is organized into the following folders:\n\n- **Labs**: Practical exercises and lab assignments for hands-on learning of NLP techniques and tools.\n- **Lectures**: Lecture slides, notes, and explanations of the topics covered in the course.\n- **Datasets**: Sample datasets used in labs and projects.\n- **Projects**: End-of-course projects or advanced assignments integrating multiple NLP concepts.\n\n## 🔧 Technologies and Tools Used\nThis course focuses on a wide range of NLP tools and libraries, including:\n\n- **Python**: The primary language for all implementations.\n- **NLTK (Natural Language Toolkit)**: For basic NLP operations like tokenization, stemming, and sentiment analysis.\n- **SpaCy**: For efficient and advanced NLP pipelines.\n- **TextBlob**: For simpler NLP tasks like part-of-speech tagging and text classification.\n- **Pandas**: For handling and preprocessing datasets.\n- **Scikit-learn**: For implementing machine learning models.\n- **TensorFlow/PyTorch**: For building deep learning models for NLP tasks.\n\n## 📚 Topics Covered\nThe course includes a variety of foundational and advanced NLP topics:\n\n- Text Preprocessing: Tokenization, stemming, lemmatization, and stopword removal.\n- Language Models: N-grams, Markov chains, and modern transformer-based models (BERT, GPT).\n- Sentiment Analysis: Analyzing emotions and opinions in text data.\n- Named Entity Recognition (NER): Identifying entities like names, dates, and locations in text.\n- Text Classification: Using machine learning and deep learning for categorizing text.\n- Machine Translation: Techniques and tools for translating text between languages.\n- Question Answering and Chatbots: Developing interactive NLP applications.\n- Advanced Topics: Transfer learning, fine-tuning, and generative models.\n\n## 🚀 How to Use\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/cyberfantics/NaturalLanguageProcessing.git\n   ```\n\n2. Navigate to the desired folder (e.g., `Labs` or `Lectures`).\n\n3. Follow instructions in the lab or project files to explore the content and run the code.\n\n---\n\n## 🤝 Contributions\nContributions are welcome! If you have suggestions, improvements, or bug fixes, feel free to:\n\n1. **Fork the repository**.\n2. **Make your changes**.\n3. **Create a pull request** with a clear description of your updates.\n\nAlternatively, you can open an **issue** in the repository to discuss potential enhancements.\n\n---\n\n## 📧 Contact\nFor questions or collaboration opportunities, feel free to reach out:\n\n- **Email**: [digital.creator380@gmail.com](mailto:digital.creator380@gmail.com)\n- **GitHub**: [CyberFantics](https://github.com/cyberfantics)\n\nHappy coding and learning! 😊\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyberfantics%2Fnaturallanguageprocessing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcyberfantics%2Fnaturallanguageprocessing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyberfantics%2Fnaturallanguageprocessing/lists"}