How does Estonian Text Summarizer work?
- Natural Language Processing (NLP). NLP techniques are employed to understand and interpret the structure and semantics of the Estonian language, enabling effective summarization.
- Machine Learning. Machine learning algorithms are trained on large datasets to identify relevant information and generate accurate summaries.
- Keyword Extraction. This technique involves identifying and selecting key phrases and concepts from the text to create concise outputs.
- Text Cohesion Algorithms. These algorithms ensure that the summarized text maintains logical flow and coherence, making it readable and understandable.