How does Belarusian NLP work?
- Tokenization. This method involves breaking down text into individual tokens or words to facilitate further analysis.
- Sentiment Analysis. This technique assesses the sentiment or emotional tone behind a body of text, which can be used to understand public opinion.
- Named Entity Recognition. This method identifies and categorizes key entities within text, such as names, organizations, and locations relevant to Belarusian context.
- Language Modeling. This technique involves predicting the probability of sequences of words, which is essential for text generation and understanding in Belarusian.