How does Somali Sentiment Analysis work?
- Tokenization. This method breaks down Somali text into individual words or sentences, making it easier to analyze the sentiment expressed.
- Sentiment Classification. This technique categorizes the sentiment of a text as positive, negative, or neutral based on predefined models.
- Lexicon-based Approach. This approach uses a predefined list of Somali words associated with specific sentiments to gauge the overall sentiment of the text.
- Machine Learning Algorithms. Advanced techniques like support vector machines or neural networks are utilized to train models on labeled sentiment data for accurate predictions.
