How does Polish NLP work?
- Tokenization. This method involves breaking down text into smaller units, or tokens, which are useful for further analysis in NLP tasks.
- Named Entity Recognition (NER). NER identifies and classifies key entities in text, such as names of people, organizations, and locations, which helps in understanding the context.
- Sentiment Analysis. This technique assesses the emotional tone behind a series of words, determining if the sentiment is positive, negative, or neutral.
- Language Modeling. Language modeling involves predicting the next word in a sentence, enabling applications like text generation and autocomplete features.
