How does Xhosa NLP work?
- Tokenization. This method involves breaking down text into smaller components like words or phrases, which is essential for further analysis in NLP tasks.
- Named Entity Recognition (NER). NER identifies and classifies key entities in the text such as names of people, organizations, and locations, allowing for better information extraction.
- Sentiment Analysis. This method assesses the sentiment expressed in Xhosa texts, determining whether the tone is positive, negative, or neutral, which is valuable for understanding public opinion.
- Machine Translation. Machine translation converts text from Xhosa to other languages (and vice versa), facilitating communication and content accessibility across language barriers.