How does Finnish Text Summarizer work?
- Extractive Summarization. This method identifies and extracts key sentences from the text to create a summary, maintaining the original context.
- Abstractive Summarization. Unlike extractive methods, abstractive summarization generates new sentences to convey the main ideas, allowing for a more fluent summary.
- Text Ranking Algorithms. These algorithms evaluate the importance of each sentence based on various linguistic features and context to choose the best candidates for the summary.
- Language Modeling. Using a deep learning approach, this technique predicts the likelihood of sequences of words, helping generate coherent summaries.
