How does Hausa NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual words or phrases, making it easier to analyze and understand the structure of the language.
- Sentiment Analysis. Sentiment analysis determines the emotional tone of a text, allowing for insight into the attitudes expressed within the Hausa language.
- Named Entity Recognition (NER). NER identifies and classifies key entities within the text, such as names, locations, and organizations, crucial for understanding content in Hausa.
- Machine Translation. Machine translation converts text from Hausa to other languages and vice versa, facilitating communication and information exchange across language barriers.