How does Armenian Sentiment Analysis work?
- Lexicon-Based Approach. This approach uses predefined lists of words associated with positive or negative sentiments to analyze the emotional tone of texts.
- Machine Learning Techniques. Machine learning models are trained on labeled datasets to recognize patterns and classify sentiments in Armenian texts based on various features.
- Deep Learning Models. Deep learning methods, such as recurrent neural networks (RNNs), are employed to capture complex patterns in textual data for better sentiment classification.
- Hybrid Approaches. Combining lexicon-based and machine learning techniques enhances the accuracy and robustness of sentiment analysis in Armenian.
