{"id":19214220,"url":"https://github.com/0101011/analitika","last_synced_at":"2025-05-12T22:22:32.924Z","repository":{"id":206491435,"uuid":"115744991","full_name":"0101011/analitika","owner":"0101011","description":"Testing Automatic Text Summarization","archived":false,"fork":false,"pushed_at":"2024-08-20T16:46:27.000Z","size":20,"stargazers_count":17,"open_issues_count":1,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-20T19:36:47.036Z","etag":null,"topics":["hdf5","machine-learning","natural-language-processing","nlp","nlp-machine-learning","pickle","python","tokenizer","transformers"],"latest_commit_sha":null,"homepage":"","language":"Python","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/0101011.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,"zenodo":null}},"created_at":"2017-12-29T18:27:34.000Z","updated_at":"2024-07-14T14:49:17.000Z","dependencies_parsed_at":"2024-07-05T22:15:08.408Z","dependency_job_id":"ad62763b-0789-4139-9fab-10f32c364979","html_url":"https://github.com/0101011/analitika","commit_stats":null,"previous_names":["0101011/analitika"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0101011%2Fanalitika","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0101011%2Fanalitika/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0101011%2Fanalitika/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0101011%2Fanalitika/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/0101011","download_url":"https://codeload.github.com/0101011/analitika/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253831329,"owners_count":21971070,"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","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":["hdf5","machine-learning","natural-language-processing","nlp","nlp-machine-learning","pickle","python","tokenizer","transformers"],"created_at":"2024-11-09T14:09:30.171Z","updated_at":"2025-05-12T22:22:32.898Z","avatar_url":"https://github.com/0101011.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🚀 Article Data Processing\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Python 3.7+](https://img.shields.io/badge/python-3.7+-blue.svg)](https://www.python.org/downloads/release/python-370/)\n[![Contributions Welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](CONTRIBUTING.md)\n\nThis is a really old script from IBM Watson times I'm trying to keep afresh :)\n\n## 🌟 So, what it does?\n\n- 🎯 **Efficient Processing**: Tokenize and filter articles (now ***a little bit*** faster)\n- 🧠 **Pre-trained Embeddings**:\n- 🔮 **Data Augment**: Expand your dataset\n- 💾 **Storage**: I/O HDF5\n- 🛠 **Customizable**: Hopefully! ;)\n\n## 🚀 Quick Start\n\n1. Clone the repo:\n   ```\n   git clone https://github.com/0101011/analitika.git\n   ```\n\n2. Install dependencies:\n   ```\n   pip install -r requirements.txt\n   ```\n\n3. Run the script:\n   ```\n   python analitika.py\n   ```\n\n## 📚 Table of Contents\n\n- [Installation](#-installation)\n- [Usage](#-usage)\n- [Configuration](#-configuration)\n- [Contributing](#-contributing)\n- [License](#-license)\n\n## 🎮 Usage\n\n1. Place your `raw_data.json` in the `data/` directory\n2. (Optional) Add pre-trained embeddings to `data/`\n3. Run the script:\n   ```\n   python analitika.py\n   ```\n4. Find processed data in `data/` as HDF5 and pickle files\n\n## ⚙ Configuration\n\nCustomize the script by modifying these variables:\n\n- `WHITELIST`: Allowed characters\n- `VOCAB_SIZE`: Maximum vocabulary size\n- `limit`: Length constraints for articles\n\n## 🤝 Contributing\n\nHere are some ways you can contribute:\n\n- 💡 My goal was to develop a package or CLI tool out of it. Maybe we'll come up with something.\n\n## 📜 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 🙌 Acknowledgements\n\n- [NLTK](https://www.nltk.org/) for natural language processing\n- [Gensim](https://radimrehurek.com/gensim/) for word embeddings\n- [HDF5 for Python](https://www.h5py.org/) for efficient data storage\n\n---\n\n\u003cp align=\"center\"\u003e\n  Made with ❤️ by [Your Name]\n\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0101011%2Fanalitika","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F0101011%2Fanalitika","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0101011%2Fanalitika/lists"}