How does Punjabi Text Summarizer work?
- Extractive Summarization. This method selects key sentences from the original text to form a summary, ensuring that the most important information is retained.
- Abstractive Summarization. Abstractive summarization generates new sentences that convey the main ideas of the text, often resulting in a more natural summary.
- Natural Language Processing (NLP). NLP techniques are used to understand and analyze the structure and meaning of the text, allowing for more accurate summarization.
- Machine Learning Algorithms. These algorithms learn from large datasets to optimize the summarization process, improving the summarizer’s performance over time.