How does Swedish NLP work?
- Tokenization. This method breaks text into individual words or phrases, making it easier for machines to process and analyze the text.
- Sentiment Analysis. Sentiment analysis determines the emotional tone of a piece of text, helping to understand the attitudes, opinions, or feelings expressed in Swedish.
- Named Entity Recognition. This technique identifies and classifies key entities within the text, such as names, dates, and locations, enhancing comprehension.
- Machine Translation. Machine translation automatically translates text from Swedish to other languages and vice versa, facilitating communication across language barriers.