How does Azerbaijani Text Summarizer work?
- Natural Language Processing (NLP). NLP techniques analyze and process human language, enabling the summarizer to identify and extract key phrases and concepts from texts.
- Extractive Summarization. This method selects and pulls out sentences or segments directly from the original text that are most representative of the main ideas.
- Abstractive Summarization. Abstractive summarization generates new sentences that capture the essence of the original text, reformulating information for clarity and brevity.
- Machine Learning Algorithms. These algorithms learn from large datasets to improve summarization accuracy and adapt to different writing styles and contexts over time.
