How does French Named Entity Recognition work?
- Tokenization. This method breaks down text into individual tokens, such as words or phrases, facilitating the analysis of named entities.
- Part-of-Speech Tagging. This technique assigns parts of speech to each token, helping to understand the role of words in sentences and identify entities.
- Named Entity Classification. This process involves the classification of identified entities into categories such as person, organization, location, etc.
- Machine Learning. Machine learning algorithms are employed to improve the accuracy of entity recognition by learning from annotated data.
