How does Kinyarwanda Sentiment Analysis work?
- Lexicon-Based Approach. This method uses predefined lists of words associated with positive or negative sentiments to classify the sentiment of a text.
- Machine Learning Classification. In this approach, various supervised learning models are trained on labeled datasets to categorize sentiments based on features extracted from the text.
- Deep Learning Techniques. This method applies neural networks to learn complex patterns in language data, achieving higher accuracy in sentiment classification.
- Rule-Based Systems. This approach relies on a set of handcrafted rules to determine the sentiment of a text based on its structure and word choice.
