How does Danish Text Summarizer work?
- Natural Language Processing (NLP). NLP techniques are used to understand and interpret the semantic structure of the Danish language, allowing the summarizer to extract relevant information.
- Text Analysis. This method involves breaking down the text into its components to identify key phrases and concepts that should be included in the summary.
- Machine Learning. Machine learning algorithms enable the summarizer to learn from a dataset of Danish texts, improving the quality and relevance of the summaries over time.
- Semantic Analysis. Semantic analysis helps in understanding the context and meaning of words and phrases in the text, ensuring a more accurate summarization.