How does Armenian Text Summarizer work?
- Extractive Summarization. This method involves identifying and selecting significant sentences or phrases from the original text to create a concise summary.
- Abstractive Summarization. In this approach, the summarizer generates new sentences that capture the essential meaning of the original text, often rephrasing content for better clarity.
- Keyword Extraction. This technique identifies the most important words or phrases in the text that represent its core topics, aiding in quick comprehension.
- Neural Network Models. Advanced machine learning models, such as neural networks, are leveraged to enhance the summarization process, improving accuracy and relevance.
