How does Indonesian Text Summarizer work?
- Extractive Summarization. This method identifies and selects key sentences from the original text to create a summary that captures the main ideas more effectively.
- Abstractive Summarization. This approach generates new sentences that articulate the essence of the source material, allowing for more flexibility and understanding.
- Semantic Analysis. By analyzing the meaning of the text, this technique helps in capturing the core concepts and themes for accurate summarization.
- Machine Learning Algorithms. These algorithms learn from vast datasets to improve the accuracy and relevance of summaries generated for various types of texts.
