How does Catalan NLP work?
- Tokenization. Tokenization breaks down text into smaller units, such as words or sentences, making it easier to analyze and process.
- Part-of-Speech Tagging. This technique assigns parts of speech to each word in a sentence, helping to understand the grammatical structure of the text.
- Named Entity Recognition. Named Entity Recognition identifies and classifies key entities in the text, such as people, organizations, and locations.
- Sentiment Analysis. Sentiment analysis evaluates the emotional tone of text, helping to determine whether the content is positive, negative, or neutral.