How does Frisian NLP work?
- Tokenization. Tokenization involves breaking down text into smaller units, such as words or phrases, which is essential for analyzing the structure of the Frisian language.
- Part-of-Speech Tagging. This technique assigns parts of speech to each token, allowing for a better understanding of the grammatical structure of Frisian sentences.
- Named Entity Recognition. Named Entity Recognition (NER) identifies proper nouns and other significant terms within the text, crucial for extracting meaningful information in Frisian.
- Sentiment Analysis. Sentiment analysis evaluates the emotional tone behind a body of text, which helps understand opinions and sentiments expressed in Frisian content.
