How does English Text Summarizer work?
- Extractive Summarization. This method identifies and extracts key sentences from the original text, creating a summary that represents the most important points.
- Abstractive Summarization. This approach generates new sentences based on the meaning of the original text, providing a more concise and coherent summary.
- Statistical Methods. These methods use statistical techniques to identify significant terms and sentences, often based on word frequency and relevance.
- Machine Learning. This technique employs machine learning algorithms to learn from large datasets and improve summarization quality over time.
