How does Yoruba NLP work?
- Tokenization. This method breaks down text into individual words or tokens, making it easier for NLP models to analyze and understand.
- Sentiment Analysis. This technique assesses the emotional tone behind a series of words, helping to determine the sentiment expressed in Yoruba texts.
- Named Entity Recognition. This method identifies and classifies key entities within the text, such as names, locations, and dates specific to the Yoruba language context.
- Machine Translation. This technology translates text from Yoruba to other languages and vice versa, facilitating cross-language communication.