How does Ukrainian NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual words or phrases, which are known as tokens. It is the first step in many NLP tasks.
- Named Entity Recognition. Named Entity Recognition (NER) is a technique that identifies and classifies key entities in text, such as people, organizations, and locations.
- Sentiment Analysis. Sentiment Analysis involves determining the emotional tone behind a body of text, which helps in understanding opinions and attitudes expressed within.
- Language Modeling. Language Modeling predicts the likelihood of a sequence of words, helping in tasks such as text generation and autocomplete features.