How does Uzbek NLP work?
- Tokenization. This method segments text into words or phrases, making it easier to analyze and understand linguistic structures.
- Named Entity Recognition (NER). NER identifies and classifies key entities in the text, such as names of people, organizations, or locations, aiding in information retrieval.
- Sentiment Analysis. This technique helps determine the sentiment behind a text, identifying whether it conveys positive, negative, or neutral emotions.
- Machine Translation. Machine translation converts text from Uzbek to other languages and vice versa, enabling better communication and understanding across linguistic barriers.