How does Arabic Sentiment Analysis work?
- Lexicon-based Approach. This method uses predefined lists of positive and negative words to determine sentiment by analyzing word occurrence in a text.
- Machine Learning Techniques. Machine learning models are trained on labeled datasets to classify sentiments based on features extracted from the text.
- Deep Learning Models. Neural networks, particularly recurrent neural networks (RNNs), are used to capture the context and nuances of Arabic text for sentiment classification.
- Hybrid Approaches. Combining lexicon-based and machine learning techniques to leverage the strengths of both approaches for more accurate sentiment prediction.
