How does Hausa Sentiment Analysis work?
- Lexicon-Based Approach. This method uses predefined lists of words associated with sentiments to analyze text for emotional content.
- Machine Learning Models. Machine learning algorithms are trained on labeled datasets to classify sentiments in new text entries effectively.
- Deep Learning Techniques. Deep learning models, like RNNs or CNNs, are utilized to automatically learn the representation of text data for sentiment classification.
- Hybrid Methods. Hybrid methods combine lexicon-based approaches and machine learning to improve the accuracy of sentiment predictions.
