How does Frisian Named Entity Recognition work?
- Tokenization. Tokenization splits text into individual tokens or words, which is the first step in processing language for named entity recognition.
- Part-of-Speech Tagging. This technique assigns parts of speech to each token, which helps in identifying the structure and meaning of the sentences.
- Entity Classification. Entity classification involves assigning the identified entities to predefined categories such as persons, organizations, and locations.
- Contextual Analysis. Contextual analysis examines the surrounding words and sentences to infer the meaning and relationships of the entities within a broader context.
