How does Javanese NLP work?
- Tokenization. Tokenization breaks down text into smaller units called tokens, which can be words or phrases, facilitating subsequent analysis.
- Named Entity Recognition. This technique identifies and classifies key entities in the text, such as names of people, places, and organizations.
- Sentiment Analysis. Sentiment analysis evaluates the emotional tone of text to determine whether it expresses positive, negative, or neutral sentiments.
- Machine Translation. Machine translation automatically translates text from one language to another using algorithms and linguistic rules.