How does Persian Sentiment Analysis work?
- Lexicon-based Approaches. These methods use predefined lists of words associated with positive or negative sentiments to analyze text.
- Machine Learning Models. These models are trained on labeled datasets to predict the sentiment of new, unseen texts based on learned patterns.
- Deep Learning Techniques. Advanced techniques like neural networks are employed to capture complex patterns in sentiment expression, often enhancing accuracy.
- Rule-based Systems. These systems apply a set of hand-crafted rules to identify sentiment-bearing phrases and their context in the text.
