How does Sundanese NLP work?
- Tokenization. Tokenization involves breaking down text into smaller units, such as words or phrases, to analyze and process the language more effectively.
- Named Entity Recognition. Named Entity Recognition identifies and categorizes key elements from text, such as names, locations, and dates, facilitating better understanding and extraction of information.
- Sentiment Analysis. Sentiment Analysis assesses the emotional tone behind a body of text, allowing users to determine the sentiment expressed, whether positive, negative, or neutral.
- Machine Translation. Machine Translation automatically converts text from one language to another, improving accessibility and understanding for Sundanese speakers and audiences.
