How does Turkish Text Summarizer work?
- Extractive Summarization. This method involves selecting and extracting the most important sentences from the original text to create a summary.
- Abstractive Summarization. This technique rewrites the content in a new form, producing a summary that may use different phrases and terminology while conveying the same meaning.
- Natural Language Processing (NLP). NLP enables the system to understand, interpret, and manipulate the Turkish language, facilitating accurate summarization.
- Machine Learning Algorithms. These algorithms are trained on large datasets to improve the summarization quality by learning the patterns and structures of the language.
