How does Spanish NLP work?
- Tokenization. Tokenization breaks down text into smaller components called tokens, which could be words, phrases, or symbols.
- Named Entity Recognition (NER). NER identifies and classifies named entities in text into predefined categories such as people, organizations, and locations.
- Sentiment Analysis. Sentiment analysis evaluates the emotional tone behind a body of text to determine whether it is positive, negative, or neutral.
- Machine Translation. Machine translation is the process of using algorithms to translate text or speech from one language to another automatically.