How does Luxembourgish NLP work?
- Tokenization. This method involves breaking down text into individual words or phrases, making it easier to analyze linguistic structures.
- Part-of-Speech Tagging. This technique assigns parts of speech to each word in a sentence, helping to understand syntactic structures and grammatical relationships.
- Named Entity Recognition. This method identifies and classifies key entities within text, such as names of people, organizations, and locations, enhancing information extraction.
- Sentiment Analysis. This technique assesses the emotional tone of a text, determining whether it conveys positive, negative, or neutral sentiments.
