How does Somali NLP work?
- Tokenization. Tokenization splits text into individual words or phrases, making it easier for machines to analyze and understand Somali language structures.
- Named Entity Recognition (NER). NER identifies and classifies key entities in the text, such as names, locations, and organizations, facilitating better comprehension of Somali texts.
- Sentiment Analysis. Sentiment analysis assesses the emotions conveyed in Somali text, allowing businesses to gauge public opinion and response to various topics.
- Language Generation. Language generation creates coherent Somali sentences or text based on input data, which can be used for chatbots or automated reporting.