GlobalMaksimum/sadedegel
🏗️ FrameworkGlobalMaksimum
A comprehensive, general-purpose Python NLP library specifically optimized for the Turkish language.
Sadedegel serves as a specialized toolkit for Turkish NLP, filling a critical gap in language-specific processing tools. The library is built to handle complex linguistic structures inherent in Turkish, such as agglutination and specific morphological patterns. Key features include advanced text summarization algorithms, document vectorization, and pre-trained embedding support. It integrates seamlessly into existing Python data science stacks, allowing users to perform tasks like keyword extraction, sentence scoring, and corpus analysis with minimal boilerplate code. The project is highly modular, enabling researchers to experiment with different summarization strategies or incorporate custom models. By providing a unified interface for various NLP pipelines, Sadedegel simplifies the development of chatbots, sentiment analysis tools, and automated content curation systems tailored for Turkish speakers.
💡Highlights
- ├─Optimized for Turkish language
- ├─Built-in text summarization
- └─BERT-based embedding support
🎯For
- ├─Data Scientists
- ├─NLP Researchers
- └─Software Engineers