How does Azerbaijani NLP work?
- Tokenization. Tokenization involves breaking down the text into individual words or tokens, which facilitates further analysis.
- Named Entity Recognition (NER). NER identifies and classifies named entities in text into predefined categories such as persons, organizations, and locations.
- Sentiment Analysis. Sentiment analysis determines the sentiment expressed in a piece of text, categorizing it as positive, negative, or neutral.
- Machine Translation. Machine translation automatically translates text from one language to another, helping in cross-language communication.