How does French NLP work?
- Tokenization. Tokenization splits text into individual components, such as words or phrases, which helps in processing the text more effectively.
- Part-of-Speech Tagging. This method assigns parts of speech to each word (e.g., noun, verb), which aids in understanding the grammatical structure of sentences.
- Named Entity Recognition (NER). NER identifies and classifies key entities (like names of people, organizations, locations) in the text, facilitating better content understanding.
- Sentiment Analysis. Sentiment analysis evaluates the emotional tone of the text, helping to gauge sentiments expressed in French content, such as positivity or negativity.