How does Amharic Sentiment Analysis work?
- Lexicon-based Approach. This method utilizes a predefined list of words associated with specific sentiments to analyze the text's overall sentiment.
- Machine Learning. Machine learning-based approaches use algorithms to train models on labeled datasets, allowing them to predict sentiment on unseen Amharic text.
- Deep Learning. Deep learning techniques, such as recurrent neural networks (RNNs), capture complex patterns in text data for more nuanced sentiment analysis.
- Hybrid Methods. Hybrid methods combine lexicon-based and machine learning approaches to enhance accuracy and adaptability in sentiment classification.
