How does Cebuano NLP work?
- Tokenization. Tokenization breaks down text into smaller units, called tokens, which can be words, phrases, or sentences. This helps in analyzing language structure.
- Sentiment Analysis. Sentiment analysis evaluates the emotional tone of a piece of text, helping to understand the sentiment expressed in Cebuano communications.
- Named Entity Recognition (NER). NER identifies and classifies key entities from the text, such as names, locations, and organizations, to enhance information retrieval from Cebuano texts.
- Machine Translation. Machine translation automatically converts text from one language to another, enabling seamless translation between Cebuano and other languages.