How does Urdu Text Summarizer work?
- Extractive Summarization. This method identifies and extracts key sentences or phrases from the original text, preserving the core message while reducing length.
- Abstractive Summarization. In this approach, the summarizer interprets the main concepts and generates new sentences that encapsulate the overall meaning, making them more coherent and concise.
- TextRank Algorithm. This algorithm ranks sentences based on their relevance and centrality in relation to the entire text, making the summarized output logical and cohesive.
- Machine Learning Techniques. Leveraging machine learning and natural language processing, this method continuously improves summarization accuracy based on user interactions and feedback.
