How does Malagasy NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual words or phrases, which is essential for further analysis in NLP tasks.
- Sentiment Analysis. Sentiment analysis involves determining the emotional tone behind a body of text, allowing for insights into opinions expressed in Malagasy.
- Named Entity Recognition. Named entity recognition identifies and categorizes key information in text, such as names of people, organizations, and locations relevant to the Malagasy context.
- Machine Translation. Machine translation is the automatic translation of text from one language to another, enabling Malagasy speakers to access information in other languages and vice versa.