How does Igbo NLP work?
- Tokenization. This technique involves dividing the text into smaller units, or tokens, making it easier to analyze and understand the structure of the language.
- Named Entity Recognition (NER). NER identifies and categorizes key information in the text, such as names, locations, and organizations, facilitating better comprehension of the context.
- Sentiment Analysis. Sentiment analysis determines the emotional tone of the text, helping to gauge public opinion or user sentiments expressed in Igbo.
- Language Translation. This method translates text from Igbo to other languages and vice versa, improving accessibility and communication across cultural boundaries.