How does Persian Text Summarizer work?
- Extractive Summarization. This method identifies and selects key sentences from the original text that represent the most important information.
- Abstractive Summarization. This method generates new sentences that capture the main ideas of the text, rather than merely selecting existing sentences.
- Natural Language Processing (NLP). NLP techniques are used to analyze and understand the structure and meaning of Persian text, enabling effective summarization.
- Machine Learning Algorithms. These algorithms learn from large datasets to improve the summarization process and deliver more accurate results over time.