How does Sesotho NLP work?
- Tokenization. Tokenization splits text into individual words or phrases, making it easier to analyze the structure of the language.
- Sentiment Analysis. Sentiment analysis identifies and categorizes the emotions expressed in text, helping to understand public opinion in Sesotho.
- Machine Translation. Machine translation automates the translation of Sesotho text into other languages, enhancing communication across language barriers.
- Named Entity Recognition. Named Entity Recognition (NER) locates and classifies key entities in Sesotho text, such as names, organizations, and locations.