How does Yoruba Text Summarizer work?
- Text Extraction. This method identifies and extracts the most relevant sentences from the original text to form a coherent summary.
- Keyword Analysis. It analyzes keywords within the text to gauge the main themes and ideas, ensuring that the summary encompasses all crucial points.
- Semantic Analysis. This involves understanding the context and semantics of sentences to produce summaries that are not only accurate but also meaningful.
- Machine Learning. The system learns from previous summarizations to improve its accuracy and efficiency in generating concise summaries over time.