How does Latin Sentiment Analysis work?
- Lexicon-based approach. This method utilizes a predefined list of words and their associated sentiments to analyze the emotional tone of the text.
- Machine Learning. This approach uses algorithms trained on annotated datasets to predict the sentiment of Latin text based on various features.
- Rule-based systems. These systems apply grammar rules to identify sentiment-related linguistic patterns in Latin sentences.
- Deep Learning. Deep learning models, such as recurrent neural networks, are employed to learn complex patterns in sentiment from large datasets of Latin text.
