How does Arabic Text Summarizer work?
- Extractive Summarization. This method selects important sentences from the original text and combines them to form a summary, ensuring that the most relevant information is retained.
- Abstractive Summarization. This technique generates new sentences that convey the main ideas of the text in a novel way, allowing for a more natural and coherent summary.
- Natural Language Processing (NLP). NLP techniques are employed to understand the syntax and semantics of the Arabic text, which enhances the summarization process by enabling better recognition of context.
- Machine Learning. Machine learning algorithms can be trained on large datasets to improve the summarization quality, adapting to various styles and topics in Arabic writing.
