How does Dutch NLP work?
- Tokenization. Tokenization divides a text into smaller units, such as words or phrases, which facilitates the analysis of the structure and meaning of the language.
- Named Entity Recognition (NER). NER identifies and classifies key entities within a text, such as names of people, organizations, and locations, thereby extracting valuable information from the content.
- Sentiment Analysis. Sentiment analysis assesses the emotional tone behind a series of words, helping to understand the sentiment of Dutch text, whether positive, negative, or neutral.
- Part-of-Speech Tagging. This method assigns parts of speech to each word in a sentence, which helps in understanding the grammatical structure and context of the Dutch language.
