How does Cebuano Text Summarizer work?
- Natural Language Processing (NLP). NLP techniques are utilized to understand and interpret the Cebuano language, allowing the summarizer to analyze and extract meaningful information from texts.
- Machine Learning. The summarizer employs machine learning algorithms to improve its accuracy in text summarization based on large datasets of Cebuano texts.
- Extractive Summarization. This method identifies and extracts important sentences from the text, creating a summary that captures the core message.
- Abstractive Summarization. Abstractive summarization generates new sentences based on the text's content, enabling a more fluid and coherent summary that may use different wording.
